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Data on Tap for all Your Data Woes

Ramya Krishnan, Reltio

Meeting an old friend is always a pleasure. A cozy coffee shop, peaceful mid-morning, and genuine casual talk. Though Janine didn’t seem all that relaxed, and when asked, she mentioned that at her workplace data processing seems to go on and on.

“But didn’t your pharmaceutical company initiated digital transformation recently?”

“Yeah, and while we got a handle on our internal data, it is the third-party data that is all over the place.” She lamented. “We subscribe to a number of services and we always need updated data. Regulations, compliance, market-watch, you know that. But we don’t seem to complete a cycle of data processing when the next batch is already there!”

I smiled and reassured her, “I have a solution for all your data woes.”

“You do?” Janine was surprised.

“Yes. When modern businesses prioritize their digital transformation activities, the biggest challenge they face is taming their data. If you expect data as the new sunshine to power your business decisions, it is effective only when clean, compliant, and available in real time.”

“True.” She agreed.

“Managing internal data is today somewhat straightforward with multiple solutions available in the market. On the other hand, onboarding and blending external or third-party data is always fraught with a tedious and costly process. The third-party subscribed data typically arrives in batch files, goes through ETL, gets the quality refined through the provider support, and a new cycle gets initiated for the next batch. Resource-intensive and time-consuming, managing third-party data is needlessly complicated.”

“Yeah, that is what I was talking about. But you said you have a solution.”

“It’s DaaS. Data-as-a-Service. It is a much more efficient approach for companies to access real-time data streams including their own distributed internal data assets, from anywhere in the world and from any device. DaaS can deliver consistent data quality and agility at a very affordable price tag.”

“So I’ll always have the external updated data on tap?” Janine brightened.

“Yes. And with a much less bother. Moreover, DaaS will help you with rapid development of data-driven applications. Because all the data is always there whenever you need it.”

“Sounds exciting!”

“It is. The key driver for investing in DaaS is pre-aggregated reliable data for quicker and better informed decisions.  What’s more, if you have distributed data centers, it actually helps with internal data as well.”

“And Reltio does it?”

“Yes! In fact, Reltio’s real-time access to data providers and industry sources delivers much more with pre-built integration and on-demand search with a single-click customized business rules-based approach. As the data provider updates are propagated automatically to its application, your data search is always in real-time. Reltio continuously partners with new data providers and can add new providers quickly, ensuring that you always get to choose more providers for improving their decision making.”

“I definitely want to go for that.”  

“Janine, with Reltio DaaS, you can also do testing of the data providers with their internal data much easily and see how much of value the data adds incrementally. Like number of overlaps, or number of net new, or quality of data. This will help you simplify and take a data driven approach in selecting the data vendors.”

“That is the best thing I heard this morning!”

“There’s more. Reltio’s modern and scalable platform guarantees performance at big data scale. The rich UI helps business users with quick data discovery. And guess what, your IT staff will be happy with tracking data access and consumption, not to mention the security certifications like HITRUST and GDPR. “

“Well, I certainly learned a lot from this coffee session,” Janine gushed. “Can’t wait to get all our third-party data sorted.”

“And with DaaS you can monetize it, too. But for that you have to meet me again for another coffee!

    Reltio Cloud – A Data Platform Perfect For Google Anthos

    Anastasia Zamyshlyaeva, Reltio

    Many enterprises are moving from dependence on a single public cloud provider to a multi-cloud architecture. The reasons for this shift are many. Companies may need more flexibility, disaster risk mitigation, and cost optimization. Also a multi-cloud strategy makes more sense for newer data-led enterprises that are permeating every industry sector. Companies must manage different types of data, from different sources and need different insights from various data sets. Increasingly complex requirements of businesses may need a multi-cloud solution that makes it simpler to aggregate, organize, analyze, and share data across the enterprise.

    The last Google Cloud Next’19 conference had a focus on better enabling enterprises to adopt a multi-cloud architecture with announcements of tools that address concerns around security, “vendor lock-in”, code migration between clouds, and support of open source. We are very excited with the announcement of the service that is called Anthos (formerly known as Google Cloud Services Platform). Anthos is based on Kubernetes as well as other open-source projects like Istio service mesh. If your organization is as excited by Anthos announcement and sees its value, we encourage you to take a look at Reltio Cloud for your enterprise data platform, for all the same reasons that Anthos is compelling to you.

    Reltio’s data platform is designed for multi-cloud strategy; we are investing in a microservices architecture that give our customers the data foundation to support multi-cloud. Multi-cloud is about mixing and matching the best-of-breed solutions and services from different cloud providers to create the most suitable solution for a specific business need. Businesses gain agility by quickly assembling unique cloud-specific services from different providers as they are needed. For many organizations building their own multi-cloud data platform may be too complex. Reltio Cloud provides this flexibility to all enterprises with its multi-cloud MDM Platform as a Service that leverages the right cloud technology and the right service, at the right time for better business outcome and cost optimization.

    As Google shared during the conference, Anthos is a single platform that will let customers become truly multi-cloud by managing and deploying services across multiple clouds – including on-prem deployments – while having a unified Control Plane with the Google Kubernetes Engine. New benefits from Anthos include:

    • Single platform for containers orchestration – write code once and run anywhere without worrying about the different environments and APIs from various cloud providers
    • Unified DevOps tooling – integrated monitoring, logging, traceability, security, and API management
    • Support to manage hybrid workloads across various cloud providers at the same time within the same Google Console.
    • Google support for open source products running on a world-class platform via Anthos – partnership and integration with application vendors like Confluent, Datastax, Elastic, MongoDB and others.

    Google Cloud Platform customers who embrace the Anthos, multi-cloud, principles and architecture, Reltio Cloud is the partner of choice for microservices-based customer data hub bringing all internal, external, and 3rd-party data together and using Google analytics components to create true Customer 360 views.

    Reltio multi-cloud, microservices architecture with kubernetes offer many advantages over a single public or hosted cloud data management offerings. First is optimal performance. You can run each workload where it performs best, provides the best functionality, for the lowest cost.  Another advantage is the ability to leverage cloud data centers based in various geographic regions. Directing traffic to data centers closest to users based on their location is vital for latency-sensitive applications. Storing data locally also minimizes issues over data sovereignty. A multi-cloud strategy further hardens an enterprise’s disaster recovery capabilities – in cases when one cloud provider has issues, an enterprise can failover to another cloud provider or region.


    Google’s Anthos announcement signals the dawn of an evolved multi-cloud world of distributed applications. A new data paradigm is foundational to powering these new multi-cloud applications. Reltio’s Modern Data Management Platform as a Service (PaaS) is already deployed and in production use as a true multi-cloud architecture. Reltio Cloud is battle tested and proven with some of the world’s largest companies who trust Reltio to power their production applications. Partnering today with Reltio as your provider of data mastering and management means that your investments and most importantly, data infrastructure will carry you forward for the next decade and beyond. I invite you to get started today!

      #ModernDataMasters: David Balzan, Business Unit Manager MDM

      Kate Tickner, Reltio

        David Balzan, Business Unit Manager MDM, VIQTOR DAVIS is a driven data management professional, enthusiastic leader and technical architect. David has nearly 20 years’ experience delivering data management solutions across most vertical markets and a huge amount of practical MDM experience.

        What is your background and what was your route into data management?

        As a kid I was a bit of a geek and I was always into IT. It was the late ‘90s with all the year 2K stuff going on when I was deciding what to study at university. A lot of companies were going through a transformation, recognising IT as critical to operational business processes. I thought it could be a great area to build a career in and the University of Kent was one of the first to offer Java courses.

        I joined Entity Group (now VIQTOR DAVIS) about a year or two after leaving there and focused on Java and Microsoft development predominantly for the first few years. I progressed into Data Architecture and then eventually Enterprise Architecture.

        I recognised early in my career that when data management projects fail, they often do so due to people, processes and politics rather than technology.  This pushed me to engage more on the business side.”

        How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

        Modern data management for me is a move away from the existing product terminology (MDM, RDM, DI, AI, ML, BPM etc) to developing platforms and initiatives that combine pieces of these capabilities together to achieve quick incremental business benefits. I think that we are probably going to have to stop using these terms and that we’ll need to do it quite soon due to how quickly the market is moving. Ten years ago we were selling MDM into IT but that’s mostly not the case now:

        “It’s business we are selling to and they want to know in pounds and pence what this investment will bring them. They don’t care about the acronyms – they want to know what the business benefits will be – analytical and operational.”

        Modern data management requires that organisations create the right cultural, commercial and technical environment to enable this to happen. Reltio is a good example of that – it doesn’t fit neatly into one of the legacy boxes. It recognises that customers have a whole swathe of data management requirements that often need a little bit of everything.

        For example, you can’t do MDM without data integration – you probably can’t do it without data quality either. If you do any data steward-ship you’ll need some kind of business process management so rather than talking about all these as individual products in siloes, let’s talk about capabilities and platforms.

        “Modern data masters shouldn’t be trying to fit projects into the boxes we’ve had in the past – they need to be business-focused, understand that you need capability across all the boxes but not be IN the boxes – they need to talk about outcomes.”

        What aspects of modern data management do you focus on in your role and how do you help deliver it?

        I’ve been very happy doing MDM for as long as I have because at the beginning it was really about the technical challenges and bringing data together from different parts of the business. I really enjoyed doing that but then I began to recognise that it doesn’t matter if you get the tech right because if you don’t make enough progress on the people and process side then your project will fail.

        I focus on helping organisations manage their most important master data.  Particularly the party domain – individuals and organisations.  Many of my projects are about helping organisations create an operational 360 view and/or achieving better data compliance.  My role is primarily as an architect and advisor but I wanted to make a difference to customer outcomes which meant I needed to develop my people skills.

        “I really enjoy working with organisations to make sure they get the most out of the technology they have bought by getting the roles, responsibilities and processes right. That’s the best way to effect positive business change.”

        What are your top 3 tips or resources to share for aspiring modern data masters?

        • Adopt a top down approach for a “thin slice” of your business. At VIQTOR DAVIS we cover this in detail in our book “Crossing the Data Delta”. Understand your business objectives, the data you have, where and how that data is used. Measure its value and quality and decide the correct level of management to apply to it.
        • Focus on the necessary changes you need to make to people and processes, not just the changes to technology. Good data management often requires cultural changes in the organisation to be effective. This is partly why we feel that offering advisory services is so important because it can drive that vital board-level sponsorship for the projects we engage in. This sponsorship ensures that the stakeholder understanding and buy-in is there across an organisation and that can be the most difficult part of the whole journey.
        • Don’t try to do this yourself. Engage with a specialist data focused organisation who can provide you with both the technical and advisory skills to make your data management programme a success.

        As a services provider, you would say that – why shouldn’t someone try and do it themselves?

        (Laughs). That’s true, but it’s because you’ve got to get everything right, at the same time. You need to have done it before – more than once – to have a chance to achieve that. In addition, having a service provider that can offer all the required skills will help you orchestrate the people, process and technology together to ensure a joined-up project delivery.

        Some organisations spread a project across multiple advisors eg Strategy advisors at Board level; Systems Integrators doing the delivery and working with IT to implement the technology and then perhaps the business process re-engineering etc being done as an internal project.  It’s really difficult for those three pieces to join up and deliver success.

        How important is experience versus willingness-to-innovate for a modern data master?

        I think you need both.  The world is littered with failed data management projects and it is important to work with an experienced organisation who can help you avoid the same mistakes.   But I think it is also important to think big.  We are seeing industries being disrupted by organisations using data in ways that are creative, ingenious and inventive.  It is hugely important for established organisations that they innovate in order to defend against their data-savvy competitors.

        This is how VIQTOR DAVIS describe who we are – how we see our role. There are many new age organisations have built data into the heart of what they do and are really disrupting the market.

        “We’re here to help the new age defenders – the more established organisations – who, over the next 5-10 years, need to fight like hell to stop these newer, more dynamic, data-driven organisations from eating their lunch.”

        What trends or changes do you predict to the data management arena in the next few years?

        I believe that operational data governance will continue to rise in importance. It’s the balancing act – unlocking data out of siloes to use it more effectively is essential, but it must be done within regulatory boundaries. You can only do that and demonstrate that you have done it is via excellent data governance – the systems and processes must be in place to do this.

        It’s what we call opportunity versus obligation. Organisations need to be able to demonstrate exactly what data is being used, where, by whom, why and when.

        “You only need to read a paper to see news about organisations who have got the balance wrong – they have gone for opportunity at the expense of obligation and are now paying the price.”

        What question would you like to have been asked and what is the answer?

        • Question: How many data engineers does it take to change a light bulb?
        • Answer: 20 senior engineers to discuss the approach and one intern to copy the answer from StackOverflow 😊

        Which is your favourite science fiction book, programme or film and why?

        I love Red Dwarf.  It’s just a little, bit, odd. It was a great little geeky UK show shot on a low budget that is full of original ideas and razor-sharp wit. It ran and ran, gathering a cult following and was all packaged in a format that appealed to its target audience. I don’t think it has caught on anywhere else – we all know someone who’s a little bit like Rimmer – it’s that sarcastic British humour we love.

        We drank from the data firehose for five days!

        At the Gartner Data & Analytics Summit 2019, Orlando, FL.

        Nalini Mohan, Senior Technical Product Marketing Manager, Reltio

        Data is the stuff the Universe itself is made of, where information organizing itself into intelligence manifests as matter. Well, as is the macrocosm so is the microcosm and it was evident at this week’s Gartner Data and Analytics Summit 2019 at Orlando, FL.

        The Reltio team that went to attend the summit came back with a data halo behind our heads. Five days of sessions were happening simultaneously as multiple tracks for Data Management, Analytics, BI, Database Management, Machine Learning & AI provided the participants with a rich buffet of information on the market trends, products and best practices and the exhibits where all this information and knowledge coalesced into matter as vendor booths that rolled out a 3-day spread of products and their demos.

        “Lead with purpose to achieve clarity in a world of ambiguity” was the central message of the opening keynote by a team of Gartner’s senior analysts led by Michael Moran. It was interesting and made sense that the keynote would focus on the need to be experimental with data-driven decisions and insist that companies follow the dictum thatPrinciples Lead and Rules Follow”, underlining the need for ethical data use by organizations.

        The Reltio-HP joint session sizzled as Chad McCord of HP and Reltio’s Ajay Khanna spoke on Building a Digital Enterprise with the Reltio MDM as its foundation.

        How I wish there were Digital Twins or Digital Triplets, or even Quadruplets of me!  This way each one of us could attend a different, equally awesome, competing sessions happening simultaneously.  

        My moment of pride was from the Magic Quadrant Power session for Data Management where Gartner’s Michael Moran pointed to his comparison bar chart of MDM vendors in the market and their Cloud-to-Premises offering ratio, where he pointed to the Reltio bar that said 100% cloud and said that Reltio leads the Cloud market and will continue to for sometime.  Reltio is a cloud-native modern master data management platform built on big data architecture and supported on multiple public clouds.

        Reltio was a Platinum sponsor at the event. The Reltio booth and the continuous demos we made had visitors, prospects and current customers streaming in constantly each day. There were a lot of discussion about Modern Master Data Management and how technologies such as graph and machine learning are paving the way for the next generation of MDM platforms. In the digital economy enterprises are looking for solutions that can help them deliver  personalized customer experiences while also meeting with compliance needs such as GDPR. We had several such discussions with the attendees who have data-driven digital transformation initiatives in progress. The connections made and the conversations held were rich and meaningful for Reltio.

        Are you ready to make a transition to modern master data management? Here’s a Digital Transformation success story that illustrates the benefits of such a transition.  

        Learn how your decision to transition will result in tremendous cost savings over legacy MDM solutions.

        #ModernDataMasters: Mike Evans, Chief Technology Officer

        Kate Tickner, Reltio

        Mike Evans is CTO and Founder at Comma Group and has spent more than a decade in the business analysis, MDM and data management space.

        What is your background and what was your route into data management?

        I never consciously chose to work in data. My journey into the world of data and MDM was rooted in my time at Mitchells and Butlers. As an aspiring Project Manager, I was asked to work on an analysis project to understand why some recent initiatives weren’t achieving expected results. It became apparent very quickly that a lack of focus on data was the root cause. This led to my first encounter with the concept of ‘Master Data Management’ which transformed my career.

        Of course, our initial MDM project proposal was rejected outright! And I returned to being a Junior Project Manager. But two years later the project was resurrected, and I embarked on what was then the biggest learning experience of my career.

        “If there’s one lesson I’ve learnt, it’s that you can’t cut corners in MDM. Success relies on the right balance of people, process and technology. It is as much to do with changing the culture of a company and embracing the value of data, as it is about technology or process.”

        How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

        There are some aspects of data management that will live on regardless of advances to technology or changes in the way businesses operate. I think that some of the key innovations in the technology space are increasing the amount of focus that businesses can put on managing their data. Hopefully this means they will get a lot more benefit from it.

        The real outcome of the integration of machine learning into modern data management is that it gives business the opportunity to move away from activities that don’t add value. They are released from some of the manual effort to focus more on what they do with the data they manage.”

        In the past when a business went on a journey to implementing an MDM initiative, a huge amount of focus was typically spent on plugging in IT solutions and configuring them. Even where organisations wanted to do things the right way, sometimes the technology solutions that were available required an immense amount of time and resource. The projects quite simply ran out of budget and time to do the more important things.  Modern data management, using advances in technology, can reduce this proportion of a data mastering project.

        “It will be possible to put more emphasis on the people, process and data governance which really make MDM live and breathe.”

        What aspects of modern data management do you focus on in your role and how do you help deliver it?

        A passion of mine is imparting the knowledge and experience that the data leaders of today possess to the next generation of data professionals. This is also the main goal of Comma Group’s academy programme.

        “We teach that problem solving is at the core of MDM, and how important data governance principles are regardless of the configuration of the underpinning technology.”

        However, there is a need to keep on the pulse of the latest technological innovations. I make sure we stay up to date so we can constantly evolve our approaches and methodologies. This ensures that we offer relevant and value-added services to the businesses we work with.

        What are your top 3 tips or resources to share for aspiring modern data masters?

        1. Always remain focused on business outcomes.

        “If you are not tying what you are doing, in any kind of data initiative, to a business vision and some tangible outcomes that a business is trying to achieve, then MDM can become just a complex academic exercise.”

        1. Prioritise people, process and governance. We have all heard about the type of technically-based MDM project that doesn’t really deliver anything, takes years and is ultimately deemed to be a failure. This is because MDM is more about shifting the culture in an organisation than about technology. Modern data management technology enables this focus.
        2. Understand the data and build the suitable, flexible data models. This one is a bit more hands-on practical, but it is absolutely core. It has stung many a project that I’ve been involved in and still seems to trip enterprises up.

        “You must access the right data and build the right data models for your enterprise before you start leaping down the path of building solutions.”

        Business is changing more rapidly than it ever has done, so when you do start building solutions use technologies that will flex and grow with you. We cannot know what the future holds but we can plan to be able to adapt to it.

        How important is experience versus willingness-to-innovate for a modern data master?

        This is a really good question, I liked the process I had to go through to think about answering it! It ties in with a core value of Comma which is that we really value reciprocal learning – learning from each other.

        Experience does of course count for a lot.  For example, you can’t directly transfer to a new person the value of what you learn when a project hasn’t gone well.

        It is difficult to take someone who is new to the data world and give them that experience you get from working in many different businesses and industries. However, the benefit of a fresh pair of eyes and a willingness to innovate can open the eyes of experienced people to new ways of thinking.”

        Balance is very important. This is what we are trying to achieve via our academy – to combine young minds with best in the industry.

        What skills or characteristics do modern data masters need to be successful?

        We are seeing rates of change in what’s out there both in terms of tech but also how businesses operate and the types of business coming to market for example the gig economy. It’s a really different world to even 5 or 10 years ago– lots of household names are disappearing and being replaced with more modern, innovative businesses.

        The definition of success, from my perspective as a manager of a consulting organisation, is our clients achieving the business benefit they want and being delighted with our services. From a client’s perspective I think it is that data management becomes part of their culture and they are leveraging good data management principles that they put in place and that they almost stop thinking about data being a separate thing. It becomes just another contributory factor to achieving their business goals.

        “In terms of skills and characteristics for a modern data master, the willingness to adapt and innovate is key. These need to be combined with the principles of sound master data management.”

        Sound MDM principles will hold true despite all the changes around us. The “Why” and the “What” remain fairly consistent but how we achieve success is changing really rapidly and will continue to do so.

        What trends or changes do you predict to the data management arena in the next few years?

        A current trend is for technology products not to be huge monoliths anymore but to be smaller and very outcome focused. The monolithic systems are unable to adapt to the changing needs of the industry because when they were implemented the amount of data they needed to store and process was far simpler and smaller.  For example, twenty or even ten years ago in food retail, focus on item cost was important, a description of the item and not much beyond that!

        The new and upcoming products often have very open architectures and the ability to plug in small blocks of functionality to get to business outcomes more quickly. In the food retail example, there are considerations around nutrition, allergies, availability, web feeds, different channels and much more.

        “These trends force those of us in data management services to rethink what we offer and how we get to those business outcomes. We have already touched on AI and ML in MDM – they do not change what MDM is, but they change how we do it.”

        From a business point of view, trends include an increased focus on the data itself. There has been a rise of businesses that have grown up understanding the importance of data basing their entire business model on the acquisition or the use of data. They are not as focused on the technology that underpins it – they have data as part of their DNA. It is what drives them.

        What question would you like to have been asked and what is the answer?

        I would have liked to have been asked about my favourite pet project. Recently I have been restoring an old record player that belonged to my grandparents. There is something nice about taking a piece of old technology that is relatively simple. It only has one real outcome which is to play records that sound beautiful. I’d tie that back to data management in that we often lose that focus on the outcome.

        “A huge pitfall of MDM projects is that we can lose focus on that vital outcome which is the equivalent of “I need to hear that record sounding great”.”

        What was the first record you played on it?

        The first one I really properly sat down and listened to was an old record of my Dad’s was a Beatles LP – Rubber Soul.

        Which is your favourite science fiction book, programme or film and why?

        I am a massive fan of the sit-com Red Dwarf and grew up with it. It is rooted in comedy and science fiction and quite scarily it has lots of stuff in it that has come true in a strange, albeit exaggerated way. I enjoyed concepts like the genetically engineered life forms – they could grow creatures that could become animate objects eg a living sofa that could grow to make you comfortable. I don’t think we’ve managed to do that yet but give it time!

        How Media & Communication Can Leverage IP Assets to Stay Competitive

        Angela Glissen Enterprise Technology Principal (Media, Communications, Hi-Tech, Retail)

        We’ve all witnessed the global media and communication industry go through a huge transformation over the last few years. As lines between distribution, content, and streaming become a bit more blurred, the market is consolidating through the gobbling up of small media companies and mergers between giants.

        The proliferation of mobile devices, wireless connectivity, and new media platforms is driving this convergence among telecom, media, and entertainment companies, and this trend of M&A has disrupted the industry like never before. Their demographics are now more diverse than ever, challenging the established consumption patterns and revenue generation models.

        The technology is changing fast and the adaptation cycles are shorter. Some of the country’s biggest entertainment powerhouses have been pouring billions into content creation, but money means nothing if a business doesn’t have the front- and back-end technology to support enterprise operations. Especially when decisions need to be made on-the-fly.

        How is the industry coping with the changes when their highest priority is to optimize and distribute content across channels and platforms? The immediate need to understand who is watching what and on what platform is driving companies to size up their customer preferences. The promise of global delivery over web, social, and mobile channels is not without hiccups as the IP assets and products need to be carefully managed across channels, geographies, and formats.

        As expected, businesses need better visibility into the value and utilization of all assets to stay competitive. IT on the other hand, continues struggling to improve efficiency and cut costs. Add to that the difficulty of navigating the complex laws and regulations across regions.

        With all the M&A and global expansions, data plays a bigger role than ever in this industry, coming from different sources, in all types and formats. Making sense of this data and managing it intelligently is perhaps the biggest challenge that media and communication companies face today. Bringing all data together from different sources, organizing it at scale, and sharing it collaboratively across the teams is the only way to make the constant onslaught of data work.

        Enter the Modern Master Data Management (MDM) that incorporates graph technology, infuses insights from the data using advanced analytics and machine learning, and offers big data scale performance in the cloud.

        Understand Relationships between IP Assets with Modern MDM

        The next generation MDM and data-driven applications blend data from multiple internal, third-party, public, and social sources, continuously cleansing and correlating to form a reliable data foundation.

        Uncovering the complex and dynamic relationships among various assets and products, and mapping the IP assets to territories, regions, and geographies, the modern MDM can recommend the right actions to best leverage and measure the value of each asset.

        Teams get complete visibility into IP assets with product hierarchies, channels, and regions to understand how each format of an asset is contributing to the business. Real-time view of any asset across the globe provides the critical insights to manage the promotional and social media strategy, as well as uncover new business opportunities. Collaborative built-in workflows ensure that every member can contribute and continuously improve the enterprise knowledge.

        Manage IP Assets & Customer Data Effectively with Data-Driven Applications

        A modern data management platform helps streamline and leverage the representation of IP and tangible products across multiple lines of business and channels.  Easily managing the wide variation of content, the platform provides an accurate source of asset, product, channel, and location data delivered straight to business teams through data-driven applications.

        For media and communication companies, a cost effective and robust data-driven solution like Title 360 helps manage their revenue generating IP assets with a master repository for all titles complete with all the attributes. Tracking revenue across assets through global customers, multiple vendors, and multiple regions worldwide becomes simpler with the hierarchical modeling capability to visualize asset relationship. A flexible and scalable architecture ensures faster ramp time while improving IT efficiency.

        While managing IP assets effectively, customers always remain in the focus. A Customer 360 solution delivers a comprehensive view of customer behavior and preferences by aggregating data from all sources, ensuring that assets get correctly aligned with customer profiles to derive the maximum value for both. A single view of aggregate customer spend across different markets, media types, and vendors is pivotal in monetizing the assets to their full potential. Providing connected user experience, relevant insights, real-time updates, and regulation compliance, customer-focused data-driven applications offer the best solution for the media and communication industry.

        Any transformation always creates challenges, but can the challenges be turned into business opportunities? The global media and communication industry can take advantage of the modern MDM and domain-specific data-driven applications, to leverage their IP assets productively and stay truly competitive.

        Master Data Management: Perspective 2018

        From the Desk of Manish Sood, CEO, Reltio Inc.

        The MDM market and landscape has gone through multiple changes over the last 10+ years.

        As we near the end of 2018, I’d like to thank our customers and partners that have been on the forefront of this revolution:

        1. Reltio’s rapid growth, as evidenced by our transparent publication of our audited revenues via the Inc 5000 & Deloitte awards marks us as one of the fastest growing private companies in the world, and the only MDM vendor on either list.
        2. Our unique Google-like search and LinkedIn-like filtering capabilities for business users further differentiates us from other MDM vendors.
        3. As the only native Cloud MDM vendor our customers and partners reap the benefits of innovation and rapid availability of new functionality for years to come.

        Reltio is a 100% customer and partner first company, and we pride ourselves on our transparency and focus to constantly do better. Due to our rapid growth we have received feedback that we need to continue to improve our product capabilities, as well as our interactions with the goal of eliminating friction between us and our customers.

        Throughout 2018, we have responded to feedback to improve customer satisfaction. Notably we launched a three prong effort:

          1. Reprioritized engineering resources
            We tasked 95 developers and quality assurance employees to burn down customer problems faster than before, and the team has recommitted to product quality with more robust quality processes.
          2. Increased technical customer support and visibility
            We increased our investment in Customer Support so that we can respond more quickly to issues immediately after they arise. Shortly we will implement a new solution that promises to improve customer support ticket visibility.
          3. Improved direct customer communications
            We continue to conduct quarterly business reviews with customers, and have expanded the scope of these reviews to include additional Reltio executives to surface areas where we can be a better partner.

        What are the results of these new initiatives?

        I am happy to report early progress in customer satisfaction. In November 2018, we surveyed our customers and 95% stated that they would recommend Reltio to other companies while 100% surveyed stated they intend to renew their Reltio subscriptions. We are not finished, but our re-commitment to customer delight is already yielding dividends.


        I’m happy to see Reltio’s stellar growth and the recognition we’ve received over the course of 2018. A quote from a October 2018 Bloor report appropriately encapsulates our efforts to align with our customer’s vision and goals

        “Three years ago we wrote that Reltio was several steps ahead of the market. Based on our latest assessment of their execution metrics related to product, technical and business innovation, and the growing adoption by some of the largest enterprises in the world, the gap may have even widened.”

        Bloor Report

        Once again, to our customers and partners, thank you for a wonderful 2018. We look forward to working even more closely with you in 2019. For those who are new to Reltio, please give us a call. We will assist you anyway we can to help clarify options and best practices about MDM, your Customer 360 project, or your enterprise digital transformation initiative.

        Warm Regards,

        Manish Sood, CEO, Reltio Inc.

        Reltio Supports Apple CEO Tim Cook’s Clarion Call for Stronger US Customer Data Privacy Laws

        Manish Sood, CEO & Founder, Reltio

        Apple CEO Tim Cook’s call for a U.S. privacy law, similar to GDPR (General Data Protection Regulation), is appropriate and timely. Five years ago this initiative would have been too big of a burden for companies because customer data is siloed throughout organizations in dozens or hundreds of separate systems. But today modern data management solutions that include technologies like machine learning empower organizations to implement data governance and privacy initiatives at scale, and are an essential part of their overall Customer 360 data strategy.

        GDPR has irreversibly changed the landscape for single customer view data projects for companies doing business in Europe. And there are lessons we can learn from businesses that have gone before us. Early efforts to comply with data mandates at the application level have come up short. Upholding GDPR principles, as companies have quickly realized, requires an enterprise data layer approach to PII (Personal Identifiable Information).

        Virtually all companies have customer data scattered across multiple networks and lines of business — the only way to manage this data sprawl so that customer data privacy compliance is assured is to discover, organize and control all customer data from internal, external and third-party sources. If that sounds like a tall order, the good news is that we at Reltio have already developed and implemented best practices that include the essential ingredients for ensuring customer data privacy for some of the largest global enterprises by:

        • Identifying all systems managing customer data

        • Blending different types of data

        • Understanding data ownership

        • Identifying data shared outside the organization

        • Maintaining data lineage across all customer attributes

        • Managing different types of consent, and their sources

        • Providing customers a way to make data-related requests

        • Deploying processes for required data access, change and deletion

        • Implementing a mechanism in place for timely reporting of a data breach

        Whether it’s correlating omni-channel transactions to customer master records and understanding, to determining how each customer is related to other members of a particular household, to whether those disparate household members have consented to their data being used and for what purpose. Maintaining data lineage to data sources and tracking to downstream applications so we know from where a customer profile attribute originated and which applications are using it is critical. This is the power of technology that enterprises already have to ensure customers are protected under the right to be forgotten stipulation. (As an aside, the right to be forgotten is a bit of a misnomer. The regulation actually stipulates that a company is required to retain evidence that they ‘forgot’ a customer. Make sure you pick a vendor who understands these nuances or your efforts may be undermined.)

        Under GDPR, individuals are entitled to data erasure, which means that at their request, all traces of their information must be purged, including legacy transaction data that might reside in activity logs. In sum, this mandates a comprehensive customer profile with a 360-degree view that can accommodate data-change requests and the ability to generate privacy compliance reports fast.

        Organizing data with a modern data management platform for growth strategies like new revenue models, improved customer experience, or other initiatives results in clean, reliable data with built-in customer data privacy compliance.

        A comprehensive customer-centric data management strategy that delivers data privacy capabilities is built on four pillars:

        • Consolidated profiles: Organizations need the ability to collate all data from internal, external, third-party and social sources. At the same time, they must have the power to trace and maintain data lineage across all attributes. This sweeping level of visibility is invaluable in the event of a data breach.

        • Managing relationships: Graph technologies play a unique role here — they offer a deeper and more accessible understanding of relationships between stores, locations, channels and types of consent. It also helps to trace the adult consent for capturing the data of a minor.

        • Data change requests: This is a critical requirement for GDPR compliance, and companies need to step up. Built-in workflows in the systems used should accommodate all customer data change requests, deletion requests, review requests and more.

        • Data as a Service with traceability: Drawing from third-party sources is a major benefit, but GDPR compliance requires tracking which attributes came from where.

        Those that view a U.S. privacy law as a regulatory burden rather than an opportunity have not yet internalized what it means to be a customer-driven company. Your customers’ privacy is already table stakes today and is part of your responsibility as you serve them. Compliance towards protecting customers’ privacy is a journey not a destination – get the right platform in place today so you can meet any regulation or concern that they might have. You’ll find that it will improve your brand, and customer loyalty, and that’s just good business.

        I’m proud that Reltio has been a pioneer in empathizing, understanding, anticipating and embracing customer privacy concerns, and that we’ve embedded product capabilities into our Reltio Customer 360 solution. I completely agree with Tim Cook’s call for a similar U.S Privacy law and as Reltio customers can attest they are already ahead of the game, with Reltio governing their sensitive customer data at scale throughout their organization using master data management, graph, and machine learning technologies.

        Why Reltio is All-in on Salesforce Customer 360, and the Adobe, Microsoft, SAP Open Data Initiative

        Manish Sood, CEO & Founder, Reltio

        Last week we saw some exciting announcements on the subject of Customer 360 and customer engagement. First Adobe, Microsoft, SAP and announced a new partnership: the Open Data Initiative, the intention to create a single data model for consumer data that is then portable between platforms. Then Salesforce announced Customer 360 at Dreamforce 18, to help brands identify who their customers are and how they previously interacted with them. The single customer 360 ID will enable companies to access customer information through Salesforce’s various applications including Sales Cloud, Service Cloud, Marketing Cloud, and Commerce Cloud.

        The announcement is great news for the industry, and I’m excited to share today that Reltio will be supporting both initiatives. This means that our customers, who are already in production using Reltio Cloud for Customer 360, as well as any future customers and partners, will be able to use Reltio to take full advantage as both initiatives evolve while benefiting from significant additional capabilities.

        Standardizing on a common data model, and having a single Customer 360 ID is important, but such efforts have historically been limiting. Common IDs and tight coupling of apps can solve some immediate problems, could provide a quick fix for small organizations but in the long run, can create new islands of data that can create challenges for larger enterprises. Reltio will help both initiatives by continuously unifying and organizing all data within their respective models while making it universally accessible for collaboration and consumption across the enterprise. Our philosophy has always been that standalone customer profile data reconciliation is insufficient without the benefit of understanding relationships across more than just the customer domain. Unlocking the value in relationships across multiple domains such as customers, households, stores, locations, products, parts, suppliers is essential to a true Customer 360, and Reltio delivers this at an enterprise scale.

        The Open Data Initiative announcement mentions a data model with over 50 different open source schemas stored in a data lake. These schemas require companies to stitch together the relationships across attributes, schemas, and profiles. Reltio helps this effort through logical metadata that combines all 50+ schemas into one unified canonical model and view of the customer data while ensuring continuous data quality that prevents a traditional data lake from turning into a data swamp.

        We started Reltio on the idea that customer data will always be distributed across dozens of application sources with different formats; that companies will keep on adding new sources; that understanding relationships across all data types, not just customer profiles are important; that agility is key, and that future-proofing from changes in technology investments is critical. It’s the reason why we adopted a multi-cloud, multi-model data storage architecture, rather than an arguably easier approach of committing to a single NoSQL, RDBMS, or a graph database. For over seven years, we’ve been delivering on the promise of the complete customer 360-view, through a foundation of trusted, reliable data, powered by open, next-generation modern Master Data management (MDM). We’ve delivered this by not just creating a better MDM in the cloud, but creating a true 360-view that includes master data, relationships across all data entities and correlating omnichannel interactions, transactions. But we didn’t stop there. We architected a platform that brings together analytical insight and operational execution using advanced analytics and machine learning to continuously correlate insight, action, and outcomes in a closed-loop, to extract the maximum business value out of data.

        Our customers – which include eight of the 10 largest life science companies, two of the top 10 cosmetics companies in the world, a global hotel and hospitality group, a U.S.-based healthcare insurer, one of the largest U.S.-based pet retailers, one of the largest mortgage providers – rely on Reltio for their digital transformation and customer engagement initiatives. From globally harmonizing customer 360-views across 140+ countries to bring together customer data from hundreds of millions of organizations, to real-time personalization, marketing segmentation of millions of consumers, Reltio continues to deliver on the promise of Customer 360.

        Speed, performance, and scalability are key. Over 4.3 billion mission critical master profiles, representing well over 1 Petabyte of storage under management in Reltio Cloud, is being accessed by business teams globally to the tune of over 85 million real-time API calls per day. As these numbers are growing by the second, our multi-cloud platform supported on both AWS and GCP provides the elastic and scalable horsepower to meet demanding workloads, and the aggressive growth objectives of global enterprises. They look to their “Reltioed” data as the trusted source for their analytics and machine learning (ML) initiatives, compliance requirements such as GDPR, and next-generation customer engagement and experiences.

        Reltio partners, including Salesforce, Mulesoft, IQVIA, AWS, GCP, Accenture, Cognizant, Wipro, ZS Associates, and Dun & Bradstreet, have all been part of successful Reltio for Customer 360 deployments, which bring together data across applications and sources in multiple Salesforce, Adobe, Microsoft, and SAP environments.

        These are exciting times for enterprises looking to transform themselves and leapfrog the competition. But it’s not easy, with a shifting landscape of technology choices, continuously evolving regulations such as GDPR, CCPA (California Consumer Privacy Act), and the need to operate at scale most cost-effectively. To companies considering how the Salesforce and Open Data Initiative announcements might impact their plans, please reach out to us to learn more about our support of both initiatives, and how we can get you on a path to future-proofed Customer 360 in a matter of weeks. To our current customers who have placed their faith, and most importantly their critical customer data assets into Reltio, I’d like to say thank you, and assure you that the best is yet to come.