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The 5 Key Challenges to Building a Successful Data Science Lab & Data Team

In this special technology white paper, The 5 Key Challenges to Building a Successful Data Science Lab & Data Team, you’ll learn how a Data Lab establishes an effort to answer business needs by making sense of raw information. Data labs are intended to create critical mass within the organization that enables them to reach the level of innovation required for new data-driven products.

Datorama Now Elevates Insights Through Voice-Driven Marketing Analytics

Datorama, a leading global marketing analytics company, announced that its marketing analytics platform has integrated with Amazon Alexa to provide today’s business professionals with an all-new capability: to interact with their data by simply using their voice. Called “Ask Datorama Anything”, this new functionality allows marketers to ask questions and issue commands to Datorama’s Marketing Integration Engine via Amazon’s Alexa-powered smart devices, such as Echo and Echo Dot.

IoT Analytics – Part 3

This is the third article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this segment, we’ll provide an overview of the rise of IoT analytics. IoT Analytics implies data, fast data, and big data. IoT is not just about capturing sensor data, or GPS locations, or temperature, or velocity changes. You have to find meaning in that data through analytics.

MicroStrategy Unveils MicroStrategy 10.6™

MicroStrategy® Incorporated (Nasdaq: MSTR), a leading worldwide provider of enterprise software platforms, announced the general availability of MicroStrategy 10.6, the newest feature release to the company’s MicroStrategy 10™ platform. This update offers new options to distribute dashboards with offline interactivity and introduces an export engine that enhances the formatting and delivery of personalized dashboards to end users across the enterprise. This feature release also adds certification for new data sources and offers new mapping visualization capabilities for MicroStrategy Web™ and MicroStrategy Mobile™.

Why Businesses Need to Continue Investing in Data: Big and Small

In this special guest feature, Julie Lockner, Global Market and Partner Programs, Data Platforms at InterSystems, discusses why businesses don’t need to stop investing in big data, but better manage and analyze the data in their arsenal to provide more personalized customer experiences.

Why Small Businesses Shouldn’t Fear Big Data

In this contributed article, tech writer Linda Gimmeson discusses how big data technology isn’t just for large enterprises, but rather with a bit of ingenuity, there are feasible ways for small businesses to leverage big data as well.

Yellowfin Connectors Enable Businesses to View and Share Data From 3rd Party Applications to Make Better Data-Driven Decisions

Global Business Intelligence (BI) and analytics software vendor Yellowfin, a highly ranked Collaborative Business Intelligence (BI) solution, announced a series of new Yellowfin Web Connectors. In the coming months, Yellowfin will be rolling out a series of Yellowfin Connectors for popular web-based applications to enable businesses to view and share data straight through Yellowfin, rather than having login and query multiple data sources.

Flash Storage, the Backbone of IoT

In this special guest feature, Rajesh Nair, CTO at Tegile Systems, discusses the impact multi-tier flash, NVMe, and scale-out storage technologies will have on the real-time processing of data for IoT, and what we can expect in the near future.

World Programming Unveils New Industrial Analytics and Data Science Features for 2017

World Programming, a leading industrial analytics and data science platform provider, unveiled new features for data scientists and data science teams including those working within life sciences, pharmaceuticals, and financial services.

Putting Data Science in Production

In this special technology white paper, From Development to Production Guide – Finding the Common Ground in 9 Steps, you’ll learn how managing a successful data science project requires time, effort, and a great deal of planning. Defining the problems to solve and planning the project’s scope is just the tip of the iceberg, as team members need to fully understand all aspects of a project in order to effectively contribute.