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2015 Trends in Business Intelligence: Self Service

2015 business intelligence

by Jelani Harper The transformation of Business Intelligence (BI) from an IT-centric, centralized process to a self-service, decentralized process is clear: According to Gartner, “By 2017, most business users and analysts in organizations will have access to self-service tools to prepare data for analysis” (Parenteau et al, 2014). Forrester’s top prediction for BI is, “Managed…

2015 Trends in NoSQL: Aspects of Integration

2015

by Jelani Harper Adoption rates for NoSQL database technology and its deployment are relatively modest at present; Forrester recently indicated this technology occupies 20 percent of the overall market share. However, there are a number of trends in Data Management that will further spur those adoption rates in 2015, including: A blurring of the distinction…

Top 20 Data Management Posts in 2014

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by Shannon Kempe It has become an annual tradition here at DATAVERSITY® to publish our top twenty most popular data management content for the year. What have people been reading? What’s hot and trending into the New Year? Our top twenty includes Data Blogs, Articles, News, and other formats published throughout the year. A Couple…

Deep Learning: Get Familiar And Have Widespread Industry Impact

deep learning

by Jennifer Zaino Get ready for the big changes that Deep Learning will bring to many sectors. Machine Learning in general and Deep Learning in particular are quickly advancing concepts right now, according to Dave Sullivan, primary architect at Ersatz Labs, which provides a browser-based unified Machine Learning environment with support for Deep Learning, model…

The Power of Cloud Computing

power of cloud computing

by Jelani Harper Of all the technologies to radically alter the landscape of Data Management today—Big Data, mobile, analytics, and others—Cloud Computing is arguably one of the most important, as it enables these technologies to apply to one another with an efficacy that would otherwise not be possible. While various Cloud Computing applications regularly receive…

Cognitive Computing: What’s Ahead in 2015

cognitive computing 2015

by Jennifer Zaino 2014 saw the term Cognitive Computing increasingly make its way into industry conversations, helped along by the debut of events such as DATAVERSITY’s™ First Annual Cognitive Computing Conference. In 2015, be prepared for the volume to turn way, way up. The market for Cognitive Computing, after all, is marching steadily forward: Deloitte…

2015 Trends for the Internet Of Things

internet of things big data

by Jelani Harper The nearly unparalleled attention surrounding the Internet of Things (IoT) in 2014 was based on a combination of factors: The IoT builds on interest in Big Data: Considered retrospectively, one of the primary purposes of gathering massive amounts of multifaceted data types in real time is to facilitate the degree of interconnectivity…

(Big) Data Governance for Cloud Deployments

big data governance cloud deployment

by Jelani Harper Moving data to the Cloud and accessing its many applications for a number of functions that were once conducted on premise enables the enterprise to: Leverage limitless scalability and provision resources on demand Enable uniform access to data and pivotal enterprise processes regardless of location or time Reduce infrastructure and total cost…

Addressing the Inadequacies of Master Data Management

master data management

by Jelani Harper In theory, Master Data Management (MDM) systems provide a number of tangible benefits such as: A single version of the truth—By compiling all of the relevant data for specific business objectives into a single repository, organizations can effectively aggregate a multitude of data sources to reach the proverbial single version of the…

Meta-Business Data

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by Michael Brackett The term meta-data has been used, misused, and abused to the point that it is meaningless (The Meta-data Fiasco). It has been used to represent the meaning of data, such as data names, data definitions, data structure, and data integrity. It has been used to represent secondary business data that support primary…