The annual State of Analytics Adoption Report by our friends at Logi Analytics provides insights for executives, product managers, and technology leaders on how broadly and deeply users are adopting business intelligence and analytics tools. The 2017 survey respondents included members of IT teams who provide analytics tools to end users, as well as the end users of BI and analytics tools.
Greenwave Systems Introduces AXON Platform for Conversational IoT, a Voice Activated Smart Gateway Solution for Service Providers
Greenwave Systems, Inc. a global software and managed services leader for the Internet of Things (IoT), announced AXON Platform® for Conversational IoT, a carrier-grade smart gateway that supports a hands-free, voice activated speaker with customizable wake-up word and open architecture. The solution combines the company’s award-winning AXON Platform® with advanced integrated voice and Artificial Intelligence (AI) powered natural language understanding (NLU) technology from Nuance, enabling a unique opportunity for service providers to create conversational IoT in multiple languages.
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, 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.
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™.
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.
In this contributed article, Hila Nir, Vice President of Marketing & Product at ZoomInfo, discusses the three steps needed to build a pragmatic, profitable pilot account-based marketing (ABM) program. Marketing and sales departments are investing big time in technology to advance ABM as the strategy’s popularity soars.
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.
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.
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.