Media Mentions

TMMData Announces Deep Integration with Adobe Cloud Platform

March 29, 2018 | MarTech Series


... TMMData announced its integration with Adobe Cloud Platform, developed in collaboration with Adobe’s platform product team.


Adobe selected TMMData, a premier flexible data integration and preparation platform, to integrate with its Adobe Cloud Platform due to its deep expertise in developing data integration solutions for the past ten years. The integration with Adobe Cloud Platform provides bi-directional Extract, Transform and Load (ETL) integration services, providing marketers with the ability to seamlessly move data between Adobe Cloud Platform, on- and offline sources, and cloud or on-premises databases.


“TMMData has a strong track record of helping brands with a smooth data connection.They were an obvious partner to collaborate with early on this initiative. We’re excited to have TMMData involved in Adobe Cloud Platform and look forward to continuing our work with them in 2018,” said Jim Rivera, Senior Director Product Management, Adobe Experience Cloud.

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TMMData Recognized in Gartner Market Guide for Data Preparation

February 22, 2018 | MarketWatch from DowJones


...According to Gartner, "business is demanding faster time to insight than ever before to remain competitive, particularly as more industries are facing digital disruption. As a result, analytics is becoming more pervasive across the enterprise and those insights are being derived from larger numbers of diverse data sources, both internal and external to the enterprise, with varying degrees of trustworthiness."


"TMMData strives to provide our customers with technology that makes data prep and analysis accessible to users of all technical abilities, and we're constantly evolving our platform to meet the data needs of enterprises of all sizes and industries," said TMMData CEO Bob Selfridge.


"We see being recognized in the Gartner Market Guide for Data Preparation as a testament to the Foundation platform's ability to make secure, sophisticated data prep – at any scale – simple and seamless in driving insightful business decisions."


Download a complimentary copy of the full report here.

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Trustworthy Data: The Goal of Data Quality and Governance

December 8, 2017 | TDWI


Is poor data governance and slow data prep really a problem? It is when it erodes confidence in the quality of your data.


It's common today to say that analysts spend too much time preparing data and not enough analyzing it. Most recently, a new study from TMMData and the Digital Analytics Association finds that "nearly 40% of data professionals (37.5%) spend more than 20 hours per week accessing, blending, and preparing data rather than performing actual analysis."


On the surface, this problem mostly concerns the valuable time of analysts -- and their better-paid cousins, the data scientists -- but data preparation challenges don't exist in a vacuum. Data that's difficult to access or integrate can lead to poor data quality, and untrustworthy data has serious implications for many industries.


The TMMData survey report put it baldly: "Data professionals lack confidence in data accuracy, which poses an existential threat to the industry."

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Infographic: Nearly 40% of Data Professionals Spend Half of Their Time Prepping Data

November 7, 2017 | DATAVERSITY


According to a new press release, "TMMData, creator of flexible data integration and preparation platform Foundation, partnered with the Digital Analytics Association to survey its community about data priorities and challenges. The survey revealed that data access, quality and integration present persistent, interrelated roadblocks to efficient and confident analysis across industries. Most notably, nearly 40% of data professionals (37.5%) spend more than 20 hours per week accessing, blending and preparing data rather than performing actual analysis."


...The release goes on, "With a 3.3% margin of error at the 95% confidence level, TMMData and the DAA have analyzed the survey responses and are sharing the following key findings with the industry: Disjointed, inaccessible data is a major productivity inhibitor for analysts, diverting skilled resources from contributing to valuable business intelligence. Nearly two in five data (38.7%) professionals are spending more than half of their work week on tasks unrelated to actual analysis: 43.8% of managers reported that 51% or more of their team’s work week is spent collecting, integrating and preparing data rather than analyzing it, while 31.3% of analysts said they spend 21 or more hours a week on data housekeeping."

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Leading Machine Learning, Data Science, and Digital Analytics Events, Predictive Analytics World and eMetrics Summit, Coming to New York October 29 - November 2, 2017

October 17, 2017 | PRWeb


Data scientists and digital analysts in the business, marketing, healthcare, and financial services sectors can learn from industry leaders in four co-located analytics conferences from Rising Media and Prediction Impact, which will be held in New York City on October 29 - November 2, 2017.


... The four analytics events will share an exhibition hall. Sponsors include Datarobot, diwo, Dun & Bradstreet, The Trade Desk, DatabaseUSA, UCI Division of Continuing Education, MEE, Inc., Elder Research, Digital Analytics Association, Heap Analytics, Dataiku, ObservePoint, AT Internet, Klipfolio, Strala, Inc., TMMData, Inc., and West Virginia University College of Business & Economics.

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