The Smart Data Blog

The Rising Strategic Value of the Chief Data Officer

Posted by Kirk Newell on Sep 30, 2016 4:08:00 PM

As organizations recognize the positive impact that big data has on a company’s performance and innovation, the position of Chief Data Officer (CDO) continues to grow in prominence across numerous industries.

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Topics: Data Management, Big Data, Data Governance, CDO

5 Recommendations for Big Data Success as a Chief Data Officer

Posted by Kirk Newell on Aug 10, 2016 1:00:00 PM

The evolution of big data over recent years has resulted in a new role that has been gaining industry traction – the Chief Data Officer (CDO). As executives begin to recognize the business value residing in their data, they are focusing now more than ever on finding ways to manage and govern this data. The CDO is emerging as a key player in the enterprise by helping to establish and maintain data governance, quality, architecture and analytics, enabling firms to more productively harness information to manage risk, reduce cost and drive innovation.

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Topics: Data Management, Big Data, Data Governance, Analytics

5 Reasons Gartner BI & Analytics Summit Attendees Flooded the Cambridge Semantics Booth

Posted by Marty Loughlin on Mar 23, 2016 6:37:52 PM

On my flight back to Boston from Grapevine, TX, where we spent three exhausting and exhilarating days at Gartner BI & Analytics Summit, I am reflecting on the great interest shown in Cambridge Semantics Smart Data Lake at this event.

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Topics: Smart Data, Data Management, Data Integration, Big Data, Analytics

The Three Pitfalls of Data Lakes

Posted by Raj Tekchandani on Jan 28, 2016 3:14:04 PM

Data lakes are no longer anomalies. Consolidating all of an organization’s data—unstructured, semi-structured, and structured—into a single repository for integration, access, and analytics purposes is rapidly emerging as the preferred way to manage big data initiatives.

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Topics: Semantics, Data Management, Data Integration, Big Data, Data Governance, Data Lake, Anzo, Analytics, Smart Data Lake, Unstructured Data

5 Data Lake Capabilites Essential to Business Success

Posted by Marty Loughlin on Aug 31, 2015 9:13:33 AM

Many data lake projects achieve their IT objective: cheap storage of all enterprise data in raw form, but fail in their business objective to deliver value from this data. Why? Because making the data accessible and usable for business users is hard.

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Topics: Smart Data, Data Management, Data Integration, Big Data, Data Governance, Hadoop, Data Lake

Key Regulatory Reporting Challenges Solved by the Smart Data Lake

Posted by Marty Loughlin on Jun 15, 2015 1:19:11 PM

Ernst and Young just released their 2015 Federal Reserve regulatory reporting survey looking at how firms are adapting to the new standards. The survey covered 5 key topics but two stood out as areas where new smart data solutions could add immediate value for the banks: Report Preparation and Data &Technology.

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Topics: Data Management, Data Governance, Compliance

Smart Data: A Powerful New Way to Manage Risk and Compliance

Posted by Marty Loughlin on Jun 10, 2015 12:19:00 PM

In a recent buyer case study, IDC examines the use of the Anzo Smart Data Platform by PricewaterhouseCoopers (PWC) in a sophisticated new class of financial Risk and Compliance solutions.

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Topics: Data Management, Risk, Compliance

The Smart Data Lake

Posted by Marty Loughlin on Jun 9, 2015 10:31:53 AM

The Data Lake promises to transform enterprise data management and analytics by providing ubiquitous access to all enterprise data. Unlike traditional data warehouses that are often inflexible, brittle and expensive, the data lake accommodates any type of data and stores it cheaply, in very large volumes, on commodity hardware.

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Topics: Data Management, Data Lake, Smart Data Lake

Big Data Industry News Watch

Posted by Raj Tekchandani on Jan 23, 2015 10:00:00 AM

A round up of recent industry news on the topics of Big Data and Enterprise Data Management

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Topics: Smart Data, Data Management, Data Integration, Big Data

Putting the Smarts in Data Integration

Posted by Raj Tekchandani on Jan 20, 2015 3:47:00 PM

Driving business value from your data often requires integration across many sources. These integration projects can be time consuming, expensive and difficult to manage. Any short cuts can compromise on quality and reuse. In many industries, non-compliance with data governance rules can put you firm’s reputation at risk and expose you to large fines.

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Topics: Smart Data, Semantics, Data Management, Data Integration, Big Data