Media Mentions

Adobe unveils common data approach to build better experience profiles

March 28, 2018 | CMO from IDG


Martech vendor also announces new customisable AI algorithms and integrations between Ad Cloud and Creative Cloud


Creating a common data language to build a single customer experience record, customisable AI modelling and integration between creative assets and media targeting, are among the major product enhancements announced by Adobe at this year’s digital marketing summit.


The Experience Cloud vendor has taken the wrappers off a new Experience Profile across Adobe Cloud, the underlying platform that supports its offerings such as Marketing Cloud and Creative Cloud. This ‘experience record’ is being supported by several new data services that the vendor said will allow users to create a unified profile of their customers in real time, in order to target them more effectively.


...On top of this, Adobe has launched I/O Runtime, a new server-less platform to run custom code on the Adobe Cloud platform. According to Crnkovich, this ensure code runs closer to customer data, and reduces the time to deploy the technologies as there’s no service set-up and maintenance required.


There are also a number of fresh partner integrations in the Adobe Exchange marketplace including with Hootsuite, Microsoft, Observepoint, Branch, ElasticPath, TMMData, Digital River, Informatica and Infogroup.

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Adobe Announces New Partner Integrations at Summit 2018

March 27, 2018 | Martech Advisor


At Adobe Summit, Adobe (Nasdaq: ADBE) today announced major advances to its global partner ecosystem, which now includes more than 5,000 agencies, systems integrators, and technology partners. The company also announced new partner integrations, 40 new Adobe Cloud Platform Launch partner extensions and several additions to its Adobe Exchange marketplace—its central hub for brands to access third-party applications across Adobe Creative Cloud, Document Cloud and Experience Cloud.


In order to deliver the best possible customer experiences in today’s data-rich, high content-velocity world, enterprises need a robust platform that supports their existing systems yet provides pre-built and custom integrations. Adobe Cloud Platform connects enterprise systems that are critical to delivering a unified and complete customer experience and enables developers to create new integrations. At Adobe Summit, Adobe showcased hundreds of these applications that help customers solve key business challenges, including best-in-class Extract, Transform, Load (ETL) options, integrating commerce and social media insights and combining online and offline data. 


...The Adobe Exchange marketplace applications allow brands to:

  • ETL and Validate Data: Access, blend, transform and enrich data from critical sources with data integration and data preparation partners like Informatica, SnapLogic, TMMData and Unifi Software.
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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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