Modern Data Management Top Five Resources
Enterprise data-driven applications, with the modern data management platform as a foundation, are the future of software. Newer capabilities are enabling businesses to leverage and capitalize on data like never before. We have compiled this resource kit to help you learn latest trends and go beyond MDM with reliable data, relevant insights, and recommended actions.
451 research matt aslett's 2016 trends in data platforms & analytics
Ramon Chen, Reltio's CMO sat down in an exclusive conversation with renowned research analyst Matt Aslett to discuss his recently published report "2016 Trends in Data Platform and Analytics". Watch the video.
from data management to data driven - five trends
Five key trends that are helping organizations to capitalize on their data, go beyond vanilla data management, and become a data-driven business. Read more.
forrester Data TEchnology pathfinder 2016
If you are responsible for data management strategy and platforms, this new report just published is a must read. It outlines the varied and complex data management landscape and what to expect as data technology and solutions evolve. Download the report.
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Ramon Chen, CMO and executive vice president of product development of cloud-based master data management company Reltio, had been unofficially advising startups for more than eight years and was looking to formalize that role. A mutual venture capital investor introduced Chen to the board of advisers at Bedrock Data, which provides data synchronization and integration for marketing and sales.
Reltio Cloud delivers reliable data, relevant insight and recommended actions so companies can make the right decisions faster. Companies rely on Reltio data-driven applications and modern data management for better planning, customer engagement and risk management tasks.
Businesses large and small are being lured in by the potential of artificial intelligence (AI), machine learning (ML), deep learning and cognitive computing, while others are still trying to figure out how to tell them apart.
Data is the lifeblood of the life sciences industry. Reliable data and a complete understanding of the relationships among healthcare providers, integrated delivery networks and payer organizations are crucial for achieving sales effectiveness and meeting compliance needs.
A top 10 pharmaceutical manufacturer deploys Reltio to streamline its master data management (MDM) across 67 markets worldwide.
Did Amazon buy Whole Foods for the groceries or the data? Clearly this is an amazing twofer. They get a physical presence that can help their delivery and Amazon Fresh efforts, but they also get the significant dataset of customers who buy groceries from Whole Foods. They now have the information to bring together a complete single view of the customer, from brick and mortar shopping to online purchases.
Obtaining a business-facing user interface to query or manage relationships, as well as maintaining data quality, requires a data store that is flexible enough to handle all disparate data types with big data scalability. With the combination of columnar and graph technologies and the power of advanced analytics, organizations can assemble a scalable data store as well as scalable analytics to deliver a new generation of data-driven applications to run a customer-centric business at big data scale.
QuintilesIMS (NYSE:Q), a leading provider of information, technology services and contract research to the life sciences industry announced today the general availability of a new category of pharmaceuticals commercial operations SaaS software called Orchestrated Customer Engagement (OCE) in the winter of 2017.
Pharma companies’ customer-facing teams are traditionally isolated from each other, but QuintilesIMS’ new commercial operations software called Orchestrated Customer Engagement (OCE) intends to form more synergies among them.
Blending data from all sources, cleansing and curating it, and discovering relationships provides a better customer understanding and enables personalized engagement. Agile modern data management allows organizations to build reliable customer views and ensures that, as more information sources, systems and channels are introduced, those can quickly be included to create a fuller customer picture.