Richard Branch Vice President & General Manager Semarchy, Ltd. The European Union’s General Data Protection Regulation (GDPR) is set to begin enforcement in 18 months. This legislation strengthens data protection protocols to give European Union (EU) residents more control over their personal information, including the famous ‘right to be forgotten’. GDPR’s far-reaching scope, extending to any […]
Gartner Data & Analytics Summit Sessions: By and Beyond the Numbers
For the geeknorati, 42 carries almost mystical significance. The world has evolved though, since it was first suggested that ‘42’ was the answer to “life, the universe and everything.” So add 300 to that, and you’ve got the complete set of Gartner Analysts’ Recommendations of what you need to do as a Data & Analytics Leader (or perhaps even as a CDO) over the next year.
Big data offers staggering possibilities, but these same possibilities can add up to gigantic headaches for business analysts, sometimes leading to paralysis-by-insight, which is hardly the goal of such implementations.
The problem is that today’s conception of what it means to know your customer is greatly expanded, and most infrastructures are not built to deliver on that conception.
Learn more about enabling Intelligent MDM with Data Virtualization at the Fast Data Summit – March 29th!
It’s hard to reduce all that is the Gartner Data & Analytics Summit down to one blog post. It was hard for the Gartner Events people to get all the BI & Analytics plus Enterprise Integration & MDM Summits into one Conference, but 2017 marks the year of that unification.
Over the 3.5 days, almost 3,000 dedicated Technorati and IT-Savvy Business Line Professionals watched some part of just over 135 sessions, from 56 Gartner Analysts and 100 Solutions Providers (like Semarchy).
This visit marks my 11th Gartner Conference, personally. One colleague remarked to me that about 20% of the content changes year-on-year; that feels a slightly low estimate but not far off the mark. Vendors in the Solutions Showcase seem to have an endless array of minorly differentiated offerings, wrapped with new buzzwords each year. Last year marked the end of the Big Data era, at least as far as enterprise software-speak goes, and this year brought in the reign of new favorites: The CDO, Bots, Digital Experiences. Read more
The Gartner Data & Analytics Summit 2017 was the culmination of the Business Intelligence, Analytics, Master Data Management and Enterprise Information Management thought-leadership conferences put on by Gartner over the past several years. It was appropriate, then, that Paul Balas – VP & Chief Information Architect for Digital Realty was on hand to talk about […]
By Aaron Machej
The EU has imposed new legislation on data protection giving people more control over their personal information including the right to be forgotten online. It aims to give citizens back control over their data. It also means companies could face huge fines for breaching the new law.
In addition, individuals must be notified in a comprehensive manner if their data is to be processed and or transferred to another service provider. Read more
Whether you’re happy about the outcome of the 2016 US presidential election or not, chances are you were surprised by the outcome. There are many post-election think pieces and mea culpas explaining how the bad polling predictions caused an upset. It will be months before we really understand what happened to cause the polls to wrongfully predict a Clinton victory. But this election was a shakeup to remind everybody that key decisions are only as good as the underlying data on which the decisions are based.
Consider Bloomberg View columnist and professor of economics at the University of Rochester Narayana Kocherlakota’s argument that polls are simply statistical forecasts. They “use available information to help us make better decisions when we can’t be sure what will happen in the future.” He refers to polling “as a guide to decision-making” when a campaign must make a choice because it has finite resources to use. Read more
Analyst Rick F. van der Lans recently released a Whitepaper, sponsored by Denodo, titled “Developing Bi-Modal Logical Data Warehouse Architecture Using Data Virtualization”. The paper introduces a Logical Data Warehouse as an agile architecture that decouples data consumers and data stores, bringing data in together as a single logical database. There are two key points to summarize the paper. First, only a Logical Data Warehouse has the flexibility to meet modern business intelligence requirements. Second, Data Virtualization is required to make the Logical Data Warehouse successful.
However, the Whitepaper needed to make one final point to bring together the full picture of a Logical Data Warehouse (LDW). Agile Master Data Management is needed to govern your data, clean your data, and make sure the Logical Data Warehouse is successful. Read more
Gartner, the research and advisory firm, recently published their “Hype Cycle for Information Governance and Master Data Management, 2016.” In this report, they discuss the current landscape of various Information Governance and MDM technologies, as well as give timelines for the proliferation and expected value of these technologies.
Many assertions of the report are in line with what our customers are reporting, but we have observed that the time-frames for many of these technologies may arrive sooner than than predicted by Gartner. Specifically, the Situational MDM timeline is the most out of line with what we have seen. Read more
With the explosion of big data, companies are stockpiling data left and right as if a data drought were around the corner.
Without appropriate actions and processes, data is useless.