How to Unlock Your SAP Data Potential for Accelerated Analytics - Part 1

Many SAP customers have been running SAP on premise for decades and have struggled to harness the full potential of their business processes data running inside of SAP along with other enterprise and external data to gain augmented insight and become more agile in this digital era where everything keeps on moving at an exponential pace with no sign of slowing down. READ ARTICLE

The Secret Recipe for Digital Transformation? Speed & Trust at Scale

Today’s ever-increasing competitive market is forcing organizations to become more data-driven. To support key business objectives such as growth, profitability and customer satisfaction, businesses must digitally transform and become reliant on more and more data to make laser sharp decisions faster. Per IDC, the global data sphere will more than quadruple by 2025, growing from 40 ZB in 2019 to a whopping 175 ZB in size in 2025 (Source: IDC DataAge 2025 whitepaper). READ ARTICLE

Hit the “Easy” Button with Talend & Databricks to Process Data at Scale in the Cloud

The challenge today for big data is that 85% of on-premises based Big Data projects fail to meet expectations and over 2/3 of Big Data potential is not being realized by organizations. Why is that you ask? Well, simply put on-premises “Big Data” programs are not that easy.  Your data engineers will need to be proficient in new programming languages and architectural models while your system admins will need to learn how to READ ARTICLE

Astrazeneca: Building the Data Platform of the Future

AstraZeneca plc is a global, science-led biopharmaceutical company that is the world’s seventh-largest pharmaceutical business, with operations in more than 100 countries. The company focuses on the discovery, development, and commercialization of prescription medicines, which are used by millions of patients worldwide. It’s one of the few companies to span the entire lifecycle of a medicine; from research and development to manufacturing READ ARTICLE

Data Scientists Never Stop Learning: Q&A Spotlight with Isabelle Nuage of Talend

Data science programs aren't just for students anymore. Now, data scientists can turn to open online courses and other resources to boost their skill sets. We sat down with Isabelle Nuage, Director of Product Marketing, Big Data at Talend to get insight on what resources are out there: Q: How would you characterize the differences between data science research processes and machine learning deployment processes? Isabelle: In the grand scheme of things, Data Sc READ ARTICLE

Surfing the Big Data Wave – Our 3 Key Takeaways from The Forrester Wave™: Big Data Fabric, Q2 2018

This edition of the Forrester Wave is yet another proof of the profound changes in the data market. New innovations are helping companies extract more value from data faster than ever before.  In just 18 months, a new wave is breaking. These are our 3 takeaways. << Download the Forrester Wave: Big Data Fabric, Q2 2018 Here>> 1) Legacy is out In a world wher READ ARTICLE

The Rise of Agritech: How the Agriculture Industry is Leveraging Cloud, Big Data and IoT

How can we meet the world’s food needs while respecting the environment? With the population set to grow to over 9 billion peopl READ ARTICLE

The Paradise Papers: How the Cloud Helped Expose the Hidden Wealth of the Global Elite

In early 2016, the International Consortium of Investigative Journalists (ICIJ) published the Panama Papers –one of the biggest tax-related data leaks in recent hi READ ARTICLE

Mergers, Acquisitions and Customer Experience in the Age of Data

When one company acquires a smaller entity or engages in a merger of equals, it’s important for both sides of the organization to come to the table and outline how said merger will impact everything from people, systems, brand, products, and services all the way down to real-estate. When companies merge, they can make seemingly minor changes that can make a big difference to customers, causing even the most loyal ones to reevaluate their relationship with the company. READ ARTICLE

Your ‘Resolution List’ for 2017: 5 Best Practices for Unleashing the Power of Your Data Lakes

As we all prepare for the New Year, what are the top priorities on your agenda for 2017? Is a data lake part of it? Are you looking for ways to do it right? Then we might be able to help you go through the holiday break with some food for thought. Data lakes are an important cornerstone for companies needing to manage and exploit new forms of data in order to fuel their digital transformation. Data lakes allow employees to do more with data, faster, in order to drive bu READ ARTICLE