Media Mentions

TMMData Partners with ObservePoint to Bring Data Quality to Marketing

March 29, 2017 | CRM Magazine

The data integration software connects with tag auditing to help users assess and improve campaign performance.

TMMData, a provider of data integration, preparation, and management software, is partnering with data quality assurance platform provider ObservePoint to give companies more accurate marketing information and analysis through automated data verification, integration, and cleansing.

..."Digital marketing moves at a dizzying pace, with new landing pages, campaigns, and assets launching daily. Those assets gather tons of potentially useful data, but ObservePoint is committed to making sure they give you good data," said Adam Gilbert, ObservePoint's director of strategic partnerships, in a statement. "Our focus on automating quality checks to ensure you're basing decisions on trustworthy data aligns seamlessly with TMMData's mission. We're excited to continue bringing data quality to the forefront of the analytics conversation with TMMData."

The Data Scene in 2017: More Cloud, Greater Governance, Higher Performance

January 3, 2017 | Database Trends and Applications

The past year was a blockbuster one for those working in the data space. Businesses have wrapped their fates around data analytics in an even tighter embrace as competition intensifies and the drive for greater innovation becomes a top priority.

The year ahead promises to get even more interesting, especially for data managers and professionals. Leading experts in the field have witnessed a number of data trends emerge in 2016, and now see new developments coming into view for 2017.

...“Right now, machine learning is to the analytics field what big data was 5 years ago,” said Bob Selfridge, CEO and founder of TMMData. “Everyone wants it, but not everyone knows why they want it, or how to make it work for them.” Selfridge sees immediate potential in machine learning-driven modeling because it is “an incredibly powerful way to see the future, act in the present, and react to the past.” The success of this modeling, he added, depends on the “quality, completeness, taxonomy, and governance of data.” That’s why “machine learning is like a new family puppy: Everyone is excited to get it, but a lot of preparation is needed. You must continuously feed it, cleanup is always involved, and lack of training will end in some very unfortunate circumstances.”

How to Wrangle Meaning from Internet of Things Data

October 1, 2016 | Network World
The Internet of Things (IoT) promises to produce troves of valuable, fast moving, real-time data, offering insights that can change the way we engage with everyday objects and technologies, amplify our business acumen, and improve the efficiencies of the machines, large and small, wearable and walkable, that run our world.

But without careful, holistic forethought about how to manage a variety of data sources and types, businesses will not only miss out on critical insights, but fall behind the status quo. Here’s how to get prepared to wrangle and extract meaning from all of the data that’s headed your way...

...TMMData is a data integration and preparation software company.

Accelerating Oracle’s Ecosystem: Ever Faster Into the Real-Time Enterprise

September 7, 2016 | Database Trends and Applications
Can Oracle and its partners keep up with the increasing demands of customers for real-time digital capabilities? Is the Oracle constellation of solutions—from data analytics to enterprise applications—ready for the burgeoning requirements of the Internet of Things (IoT) and data-driven businesses? For Oracle—along with its far-flung network of software vendors, integrators, and partners—times have never been so challenging.

...Big data solutions, of course, are an important piece of the Oracle ecosystem—especially when they integrate well with existing traditional data types. “The players that have been able to make their unstructured data talk to and truly inform their traditional data streams are the ones who are easily outcompeting their peers,” agreed Bob Selfridge, CEO and founder of TMMData. “Making this happen—and, ideally, automating the marriage of structured and unstructured data—is the holy grail of data analysis and often requires custom solutions for bridging the gaps between ETL and BI platforms.”

TMMData Named to Inc. 5000 List of Fastest-Growing Private Companies in America for Second Consecutive Year

August 17, 2016 | MarketWatch
Leading data integration software company more than tripled its revenue and expanded into 11 industries over the last three years

TMMData, a top provider of flexible data integration software, today announced it has been named among the top 35 percent on Inc. Magazine's 35th annual Inc. 5000 list, a ranking of the nation's fastest-growing private companies, for a second consecutive year. The 2016 Inc. 5000 list celebrates entrepreneurship and innovation and is organized according to the percentage of revenue growth from 2012 through 2015. During this time, TMMData more than tripled its revenue and expanded into 11 industries, ranking the company at 1775 on the 2016 Inc. 5000 list.


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