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The Magic of Modern Master Data Management: Making Data Work for Healthcare and Life Sciences

Ankur Gupta, Sr. Product Marketing Manager, Reltio

Digital transformation, big data analytics, and machine learning – the buzzwords echoing the Healthcare & Life Sciences industry signify a new era of delivering connected and personalized customer experience through 360 customer profile.  If you are rethinking customer engagement and planning a better customer experience, we have a very special event lined up for you.

Learn from the experts, catch ideas in panel discussions, and network with top professionals.  The Modern Data Management Summit 2019 taking place in San Francisco, over February 26-27, 2019 is your ticket to discover how modern data management, data science, and business facing data-driven applications are transforming the Healthcare & Life Sciences organizations.

Dedicated Healthcare and Life Sciences Track

My earlier blog posts The Fastest Way to Learn Modern MDM & Personalized Customer 360 and Organize Master Data, Personalize Customer 360: Learn from the Top Industry Experts highlight some of the sessions discussing capabilities of modern data management, reliable customer data for maximum business impact, and best practices for data governance and compliance.

Healthcare and Life Sciences industry is freshly discovering how the huge data they collect can be efficiently and productively managed. We have a dedicated track for this industry covering the specific challenges and success stories in managing data.

Healthcare needs never remain the same for members. They change with time and life events. Delivering members the best experience relevant to their life stages is a top priority for healthcare providers.

The key session on Managing Experience throughout Member Lifecycle will focus on how a data-driven approach succeeds in always delivering value for their member’s needs. An expert panel from Optum, with Maria Perkins, Vice President, Growth Technologies & Proposals, Shanky Krishnan, Sr. Director, Growth Technologies Cloud Platform, Reinaldo Amaral, Director, MDM Data Quality, and Hugh Flood, Program Manager, MDM will discuss leveraging data to manage the experience throughout the member lifecycle.

In a special session, Joanna Walker, Global MDM Architect, AstraZeneca will illustrate how they leveraged Modern MDM for business-driven expansion to tap new markets in North America and Africa. She will elaborate how the cloud-based solution helps them manage more than 15M Healthcare providers and organizations, delivering consistent, reliable data to field reps in diverse global markets.

While business users focus on data analytics for improving business performance, they also know results will be as good as the quality of data they come from. Data quality and ranking capability is valuable for data stewards since it automatically prioritizes work by identifying data high in business value but low in quality.

Jamie Yates, AstraZeneca and Ramya Krishnan, Product Management, Reltio will describe how data stewards can steer their time and efforts for the greatest business impact and increasing productivity, while business users can use these ranks and scores to segment data and maximize business outcomes.

And there is more. Discover the journey of a Top 10 life sciences company through evolving data strategy, various data management use cases, and lessons learned along the way.  Vivian Wu, Senior Manager of Enterprise Data Operations, Marketing Analytics & Business Insights, AbbVie, and Bernie Tucker, Director, Data and Analytic Services, US Commercial Business Technology Solutions, AbbVie will share their insights.  

Master Data Management (MDM) in life sciences has evolved from being the traditional matching of records and creating clean data, to automating the process of collecting and linking disparate data into a single trusted source, and effectively managing the data assets shared across the enterprise. Mukesh Sharma and Suhas Joshi will talk about the Digital Transformation at Syneos Health, the MDM journey, experiences, and learnings.

Get to know what preparing the right data for the first product launch involves, especially when bringing biotech ingenuity to medical dermatology. It needs rigorous planning, correct data strategy, cross systems coordination, agile deployment, and onboarding with failover options. Sahithi Paleti, Manager IT commercial/Medical Affairs Systems, Dermira and Bharat Tandon, Manager, Data Management and Analytics, ZS Associates will discuss their experiences around their data management approach, key challenges, and takeaways while enabling commercial readiness for Dermira’s first product launch.

John Hayes, Associate Vice President, Data Management, Sanofi, David Eller, Associate Director, Commercial Information Strategy, Grifols, and Scott Isaac, Director Global Business Intelligence Lead, Pfizer will explore customer data management strategies in the light of new customer expectations, new business models, and new compliance requirements.

Mark your calendar: February 26-27, 2019

The most focused #DataDriven19 event for all you need to know about modern data management and delivering personalized customer experience.

Learn more and request an invite at https://www.reltio.com/events/dd19

Organize Master Data, Personalize Customer 360: Learn from the Top Industry Experts

Ankur Gupta, Sr. Product Marketing Manager, Reltio

If connected and personalized customer experience is your immediate goal, and if you want to know everything about achieving it, look no further. Focusing on the modern way to organize master data, the upcoming Modern Data Management Summit 2019 is the best event to learn about big data analytics and machine learning to deliver personalized customer experience through 360 customer profile.

Sounds impressive? Don’t just take our word. Discover yourself. Join us in the most exciting #DataDriven19 event in San Francisco, CA. The summit promises the choicest real-world knowledge sharing sessions, unique panel discussions, and delightful industry networking opportunities.

Mark your calendar: February 26-27, 2019

With over 40 sessions featuring 60 speakers, the summit has three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences. The best minds in industry discuss the hottest topics relevant to master data management, customer 360, data science, and business facing data-driven applications.

Rob Fuller, Digital Solution Architect, Principal Director, Accenture, will present the business and technology challenges of achieving true omni-channel marketing, and how Accenture and Reltio are joining hands in significantly reducing the time and effort required to deliver the finest omni-channel customer experience.

The master data management platforms are evolving to meet the needs of the digital economy. Aaron Zornes, Chief Research Officer, The MDM Institute will speak about the capabilities required for the next generation MDM platform that incorporates graph technology, infuses insights from the data using advanced analytics and machine learning, and offers big data scale performance in the cloud.

Michele Goetz, Principal Analyst, Forrester will discuss how businesses can transform customer experience, business models, and market competitiveness by investing in the right technology innovation, embedding intelligence into all tiers of their data management systems, and work toward customer insight systems that accelerate results.

Success Stories and Industry Best Practices

When the European regulation GDPR came into effect last year changing the way we manage personal data, it was time for businesses to rethink their data management. Srilakshmi Goparaju, Master Data Management Expert at Equinix will explore the key business benefits of using MDM to address compliance needs and how they can be smartly turned into business opportunities.

Modernizing data infrastructure and building an enterprise customer master across all acquired businesses help improve the end-to-end customer experience and uncovers new business opportunities. In an exciting session, Suresh Jawahar, Director Data Governance & MDM, Advance Auto Parts (AAP) will discuss the best practices for data management including data governance, and leveraging reliable customer data for advanced analytics to create the maximum business impact.

Omer Iqbal, Senior Vice President – Global Architecture – Digital Center of Excellence, Shiseido, will share what digital experience means for one of the leading beauty products enterprises, and how a new vision of beauty is delivered through data-driven digital strategy.

Enterprises recognize the value of connected experiences through every stage of customer journey, and want to provide relevant offers to maximize the customer lifetime value. Shree Seshan, Director – Digital IT – Data Management & Strategy, L’Oreal will explore how some of the leading organizations are succeeding in digital transformation to achieve personalized, connected customer experience in a compliant manner.

My earlier blog post The Fastest Way to Learn Modern MDM & Personalized Customer 360 highlights some more sessions on digital transformation, machine learning-enabled data management, and mega-trends around Customer 360.

Make the most of this #DataDriven19 event to stay ahead of the curve on your data strategy, digital transformation efforts, and business goals.

Learn more and request an invite at https://www.reltio.com/events/dd19

#DataDriven19 – The Fastest Way to Learn Modern MDM & Personalized Customer 360

Ankur Gupta, Sr. Product Marketing Manager, Reltio

Learn more and request an invite at https://www.reltio.com/events/dd19

The third Modern Data Management annual summit (#DataDriven19) will be held on February 26-27 2019 in San Francisco. It will have over 40 sessions and panels featuring 60 speakers.

There will be three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences. This year’s theme “Organize Master Data. Personalize Customer 360” will cover the hottest topics relevant to master data management and customer 360, big data analytics, data science and business facing data-driven applications.

Some of the not-to-be-missed sessions are –

Learn from Ray ‘R’ Wang, Principal Analyst and Founder, Constellation Research how AI driven analytics will transform the future of business.

Michele Goetz, Principal Analyst at Forrester will discuss the pragmatic approach to machine learning enabled data management that delivers real business outcomes.

Manish Sood, CEO, Reltio will look at how leading digital organizations are using technology to meet the trust, privacy and customer experience needs today and preparing for the future.

As a data professional you face the convergence of mega-trends around Customer 360, AI, Big Data, programmatic marketing, ABM, and globalization. Scott Taylor, Data Whisperer & Principal Consultant, MetaMeta Consulting would discuss how to survive these unrelenting business pressures by putting your data to work!

Kevin McBride, Director, WW, Sales Data Management, HP Inc. will discuss the digital transformation journey at HP and how data management at scale helped enabled the transformation. Session will review multi-domain use cases for using data management at scale to build single view of customers with complex hierarchies.

Joanna Walker, Global MDM Architect, AstraZeneca (AZ) will discuss how AZ Center of Excellence team manage their cloud MDM platform as a service globally and innovative ways in which the AZ business is using MDM to provide reliable data to field reps.

Rick Camp, Principal & Founder Forward360 LLC will discuss a modern definition of patient centricity and provide insights into how agile Master Data Management (MDM) enables relevant & personalized patient engagement and commercial success.

There will be many more exciting sessions and panels from across the industry to set you on the right path for data-driven digital transformation for 2019.

Summit will also recognize leaders in IT and business with The Data Genius Awards. The recipients have blazed the trail for their creative use of data for the benefit of their companies raising their Enterprise Data IQ every day through continuous Data Organization and Customer 360.

Overall the event promises best in the industry networking opportunity and educational sessions that will offer new ways for companies to think about their data in the new digital economy. It will not be just about work; a fabulous evening reception on 2/26 will give you ample opportunity to mingle and play while enjoying amazing view of the beautiful San Francisco city!

We are all hands on deck working to make #DataDriven19 the most informative data management event of 2019.


What’s your Data Confidence Number?

Nalini Mohan, Senior Technical Product Marketing Manager, Reltio

Can you put a number to the level of confidence and trust you have in your enterprise data and analytics? Can you take that number and make powerful decisions that can transform your enterprise? According to a study by KPMG and Forrester Research, “60 percent of organizations say they are not very confident in their data and analytics insights” and “only 10 percent believe they excel in managing the quality of data and analytics”. [1]

Reltio’s latest release offers a breakthrough data confidence capability to cross this chasm of trust for enterprises that use Reltio Cloud for their analytics and operations. Reltio Data Quality Confidence Indicators are continuously calculated for all profiles in Reltio Cloud and presented to the user as actionable metrics. For the first time ever, business users have a consistent way of quantifying data quality for reliability and business value.

Data organized in Reltio Cloud is now the only data available to business users with a confidence indicator. Enterprises need quantitative metrics to gauge data quality. Reltio is the first to bring those to market, along with updates for scalability, connectivity, security and more, offering significant opportunities for many data-driven business initiatives. Reltio’s new data quality and ranking capability is also valuable for data stewards since it automatically prioritizes work by identifying data that is high in business value but low in quality. Data stewards can now focus their time and efforts for the greatest business impact, increasing productivity, aligned to business value.

Have you Reltio-d your data today?

It is an increasing imperative for enterprises to think about trusted analytics as a strategic way to bridge the gap between decision-makers, data scientists and customers to deliver sustainable business results. Reltio customers and users understand that it is important to “Reltio” their data before trusting it enough for customer 360 views, analytics, and machine learning, and for meeting data privacy and compliance regulations.” Reltio’s new data quality and ranking capability is also valuable for data stewards since it automatically prioritizes work by identifying data that is high in business value but low in quality. Data stewards can now focus their time and efforts for the greatest business impact, increasing productivity, aligned to business value.

  • Data Quality Indicators – A machine learning-based Data Quality IQ (DQIQ) score grades the quality of data in each profile, and a Reltio Rank highlights the importance and relevance of a profile compared to other profiles. Metrics are continuously updated and persisted as profile attributes, making them searchable and segmentable. DQIQ is being progressively rolled out to customers.
  • Customizable IQ Scores – Together with Reltio’s system-generated DQIQ score, customers can also leverage Reltio IQ, a separately licensed module, to customize their own DQIQ variants, and to create an unlimited number of IQ scores and attributes. Examples include Churn IQ, Upsell IQ, and Compliance IQ.
  • Relevance-Based Matching – Reltio Cloud also added a relevance-based match rule allowing users to define a match rule and associate an action to be performed based on the relevance score of the match pair for continued data quality improvement.

The latest release (Reltio 2018.3) from Reltio builds upon its speed-to-value by making it even easier for business users and data stewards to onboard data through self-service. Reltio Data Loader allows any user, with the appropriate authority, to load unlimited volumes of data through an intuitive UI. Users can visually map, transform and load any amount of data, as well as monitor progress without having to write code. Organizations can now match external files against existing records in the tenant using smart matching, delivering instant actionable results.

With over 85 million real-time API calls a day and 4 billion profiles continuously being organized, Reltio continues to invest in platform performance. Upgraded services preemptively take action to handle spikes during extreme traffic loads. They also continuously monitor data to detect anomalies across distributed repositories, and will initiate self-healing actions autonomously. Fine-Grained Role Management , Flexible Data Privacy and Protection and Continuous Compliance enhance the very powerful feature sets offered in this release.

Visit the Reltio booth at the Modern Data Management Summit 2019 and test drive Reltio 2018.3 and its breakthrough Data Confidence features.

[1] Building Trust in Analytics

Why Master Data Management and Machine Learning Go Hand in Hand

Ramon Chen, Chief Product Officer, Reltio

Reltio’s inclusion in the The Forrester Wave™: Machine Learning Data Catalogs Q2 2018, by Michele Goetz with Gene Leganza, Elizabeth Hoberman, and Kara Hartig, Forrester Research, June 2018, sparked (pun intended) several questions. Such as why was Reltio included, how did we receive such strong marks, and why were we the only Master Data Management (MDM) vendor in the Wave?

The simple answer is that the Wave’s qualification criteria includes several key areas in which Reltio is naturally strong. As the only Master Data Management platform recognized in the Wave we believe our core MDM capabilities contributed to our strong showing. In fact, Reltio had already been included, together with 23 other excellent companies, in Forrester’s Now Tech: Machine Learning Data Catalogs, Q1 2018 report preceding the Wave.

That report outlined key 3 characteristics of Machine Learning Data Catalogs (MLDC):

1. Interpret, define, classify, link, and optimize the use of disparate data sources

Reltio is used by companies globally to define logical business schemas, capture and discover relationships through the Reltio Self-Learning Graph, suggest ongoing improvements, and to organize and bring siloed data together across the enterprise to meet their business objectives. This continuous reliable data foundation feeds better operational execution, predictive analytics, and sets them up to evolve towards a self-learning enterprise.

2. Reconcile policies across data use

Reltio Cloud’s built-in data security and privacy, regulatory, life-cycle, and data quality policies coexist to adapt data for multiple uses through a powerful audit trail, and role based access to data. This is critical in the face of evolving compliance measures such as GDPR. Flexibility and agility to ensure that you can track not just where the data originated, but how it’s being used and the outcomes it generates, is a critical component of any forward looking ML strategy.  

3. Democratize data to the edge of business

Reltio is particularly well suited to meet this requirement through frontline business user facing data-driven applications and workflow and collaboration capabilities that come OOTB with Reltio Cloud. It allows teams to submit comments, suggestions, filter and easily segment information through a UI that’s as easy to use as Facebook and LinkedIn.

Data science teams are then able to use Reltio IQ, with Apache Spark to run their algorithms without the pain associated with cleaning and onboarding data in separate environments. This is increasingly important as enterprises deploy machine learning systems, with data scientists requiring relevant, curated data sources to train algorithms to improve results.

As this video illustrates, the true value comes from being able to synchronize ML-algorithm derived IQ scores back into master profiles as aggregate attributes. Making them available for segmentation by marketing, sales, and even data stewards and compliance teams. Teams can then continuously reconcile results to recommendations in a closed loop to self-learn and improve outcomes.

We are tremendously proud and honored to have been included in the MLDC Wave as it reflects our core belief that machine learning cannot be used in isolation from the overall data organization and management needs of the business.

Whatever your desired outcome, MDM forms the backbone of high quality, reliable data which allows ML to thrive.

ML in turn provides unique capabilities to improve and increase the efficiency of data quality, and enterprise data organization operations. Like the graphic I selected for this post, they go hand in hand, and are interconnected across all points of the data continuum and life cycle.

Four Ways to Use GDPR as a Strategic Driver

Ankur Gupta, Sr. Product Marketing Manager, Reltio

Post May 25, 2018, per the General Data Protection Regulation (GDPR), companies with business ties to the European Union need to comply to GDPR standards. The cost of non-compliance is huge, but the regulation is meant to benefit individuals as well as businesses. Let’s look at what it can unlock for you and your brand if you approach it in the right way. What about being able to say that you are the safest enterprise in your marketplace when it comes to data? How about if you can not only reduce operational cost but can also create new revenue streams by being compliant to GDPR and other upcoming regulations?

1. Replace Legacy Systems by Future Proof Cloud-based Applications

When companies are taking steps to comply with GDPR, they are required to perform a ‘spring clean’ of their data, which can in turn lead to multiple efficiency gains. Organizing data improves the way firms carry out analytics and take business decisions. To comply with the regulation, companies must be able to illustrate the entire data flow – how data comes into the company; how they store and manage it; and how they treat it at end of life. This will encourage businesses to replace legacy systems by flexible cloud services to be more nimble and transparent especially when regulatory regime keeps evolving. In addition, most large enterprises have grown through M&A. Thus, they can look at GDPR as an opportunity to get rid of obsolete software and accelerate application retirement.

2. Gain Brand Loyalty and Attract New Customers

Companies can leverage GDPR to change the landscape from risk mitigation to improving their long-term competitive advantage. They can see early GDPR compliance as a competitive differentiator and position themselves as leaders of an emerging new normal. We trust those businesses who values our privacy beyond mere legal compliance. Thus, GDPR is an opportunity for businesses to get their data in order, get compliant and become consistently transparent with their customers. In a post-GDPR world, data sharing would be seen in the context of mutual respect and value exchange. It is an opportunity to re-connect your business with your current and potential customer base and start a new relationship based on mutual trust and responsible personalization.

3. Invest for the Future

The criticism that GDPR compliance might restrict innovations in AI ignores a subject’s right to privacy and consent. In fact, not being GDPR compliant would impose far more constraints on data collection and processing, slow down the ability to leverage innovations in AI and pay an opportunity cost such as market share losses in the future. Read this article for more details – Understanding GDPR and Its Impact on the Development of AI. In addition, in an era of data-driven innovation, business partners need to work together across the value chain. Data-driven innovation requires a clear understanding of the data to be collected and the reasons for collecting it. There are double opt-ins in such value chain: both partners need to be clear about what data they have about each other, and why. It’s very important that their data sharing practices are compliant with GDPR and other upcoming data regulations. As a first step to GDPR compliance, companies must define the scope of GDPR-relevant personal data that is collected, processed, and shared. Once a company identifies the scope of GDPR-relevant personal data, it should catalog all internal and external data sources that fall within this scope.

4. Execute A Delicate Interplay of Offense & Defense Data Strategies

In the post-GDPR era, personal data protection will become a data strategy issue. To comply, businesses need to have solid data organization and data governance in place. The GDPR gives companies the opportunity to holistically re-assess all their data, not just personal data. Data defense is about minimizing regulatory risk and preventing theft. Data offense focuses on increasing revenue, profitability, and customer satisfaction. Strong regulation in an industry (e.g. financial services or health care) would move the company toward defense; strong competition for customers would shift it toward offense. The CDOs and the rest of the leadership should see GDPR as an opportunity to establish the appropriate trade-offs between defense and offense to support company’s overall strategy. Read this blog post for more details – Is Your Data Strategy Defensive or Offensive? Why Not Both?.

Data is a company’s most important asset, and it’s constantly growing. Taking mandated compliance and turning it into an opportunity to personalize, delight and exceed customer expectations would fuel innovation reliably and responsibly.