Big Data Feed

Thanks to Our Customers for Another Year in the Leader's Quadrant

by Len Dubois, SVP and Chief Marketing Officer, Trillium Software

Trillium Leader in Gartner Data Quality Magic Quadrant This just in! Trillium Software has been named a leader by Gartner in its 2016 Data Quality Tools Magic Quadrant. This is the eleventh year in a row that Trillium Software has been recognized as such by this major review of all the significant players. It's a feat that spans more years than any other vendor in the market space.

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Trillium Software: Leader in Gartner Data Quality Magic Quadrant!

by Keith Kohl, VP Product Management, Trillium Software

Trillium Leader in Gartner Data Quality Magic Quadrant Last week, Gartner Group released its Data Quality Magic Quadrant (MQ) and Trillium Software is once again in the leader quadrant (the coveted upper right)! In fact, ever since Gartner has been publishing the Data Quality MQ, Trillium has been in the upper right leader quadrant, 11 straight years.

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How Trillium Refine™ Makes Your Data Preparation and Data Quality Easier and Faster

by Keith Kohl, VP Product Management, Trillium Software

Refine

In my last blog, we announced the launch of Trillium Refine™. In that blog, I outlined the 6 step process for preparing data. In this blog, I will outline how Trillium Refine makes it easier for business and data analysts to prepare and trust their analytics.

Everything inside Trillium Refine’s highly indexed repository is searchable. As data sources are read, metadata is stored and indexed inside the repository. As you go through the 6 step process, the analyst can search for anything that is in the repository. The search feels like an internet search engine like Google as it has “type ahead” and showing results as the user types.

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Don’t Forget the Data Quality with your Self-Service Data Preparation…Announcing Trillium Refine™

by Keith Kohl, VP Product Management, Trillium Software

RefineIt’s been estimated that 40%-60% of time is spent accessing and preparing data before an analyst can do anything with it. An industry analyst told me last week, “it’s more like 75-80%!” But what about ensuring the quality and completeness of the data so you can trust the results of your analytics? How can you ensure you are performing analytics on complete, accurate, and trusted data?

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Conference Season is Abuzz with Customer Experience Discussions

by Denise Laforgia, Product Marketing Manager, Trillium Software

TradeshowFall conference season is in full swing and no topic seems to be more popular than customer experience. Business and information technology professionals from all industries and management levels are interested in how they can access and analyze Big Data to better attract, serve, and retain customers, and ultimately growth their business. At Strata + Hadoop World and Gartner Symposium, which took place over the last couple of weeks, attendees and analysts discussed a range of topics related to how data management can support customer experience improvement.

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Big Data Ingestion... or Indigestion?

by Denise Laforgia, Product Marketing Manager, Trillium Software

Data IndigestionWith the exception of those special few with iron stomachs, any rapid ingestion of a wide variety of rich, exotic foods can cause a lot of discomfort for quite a while. The same is true of data ingested into Hadoop. Organizations are piling high volumes of diverse, disparate data sources into Hadoop at rapid speeds, but their inability to find value amidst all of that information is causing a fair amount of distress and uneasiness among both business and technical leaders.

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Big Data Quality – What’s Old is New Again

by Denise Laforgia, Product Marketing Manager, Trillium Software

Skinny-tieEverything old is new again. It’s an expression commonly used to describe those popular fashion trends – from pleated pants to skinny ties - that pop up every few decades. The colors, materials and supporting accessories may change, but at the foundation are classic clothing items that reappear time and time again.

The concept isn’t exclusive to clothes, however. Right now the market is abuzz about Big Data and the new information and technologies it brings to businesses. Concurrently, timeless principles of data quality and data governance are experiencing a resurgence in popularity, just as they have at the outsets of past data management initiatives related to data warehousing, customer data integration and master data management. Organizations realize that to successfully leverage the full potential of new Big Data innovations, they need to draw from traditional concepts of data quality and governance – here’s why.

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Getting to the Business of Big Data – Overcoming the Marketer's Dilemma

by Denise Laforgia, Product Marketing Manager, Trillium Software

Big-dataIf you're a marketer and Big Data is keeping you up at night, take comfort in knowing you're not alone. According to a recent IBM survey, the percentage of CMO's who feel under prepared to deal with the "data explosion" increased from 71% to 82% between 2011 and 2014. Big Data is a source of unrelenting angst among marketers everywhere.

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Don’t Let Your Big Data Projects Sink – Find out What’s Lurking in Your Data Lake

by Denise Laforgia, Product Marketing Manager, Trillium Software

Big-Data-NoSinkingOrganizations are drowning in their Big Data and are unsure of how to even begin to find the value in it. While many have set up “data lakes” as an initial step, they still struggle with understanding what data they have. The fact is, these large warehouses and repositories that store endless streams of high-volume, diverse data that flow into organizations every day may provide a good way to collect Big Data, but they do nothing to help organizations drive real business benefits.

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The Big Data Boom – An Imminent Bang?

by Nigel Turner, VP Information Management Strategy, Trillium Software

BigbangdataThe Big Data explosion has arrived and is here to stay. Some industry commentators who have tried to label the Big Data phenomenon as vendor generated hype must now be eating their words. Recent industry analyses and forecasts have demonstrated that Big Data has moved rapidly from the sandpit into the heart of many enterprise data architectures.

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