ux-788002 640Data Intensity announced the availability of Analytics1™, an end-to-end, cloud-based analytics and business intelligence (BI) solution.

As an industry leader in analytics, business intelligence, and managed and cloud services for enterprise application and data management, the company combines best-of-breed technology, world-class services, a flexible business model, and deep rooted expertise gained from hundreds of successful deployments to uniquely and cost-effectively support the full scope of a customer's enterprise data lifecycle.


Analytics1 is designed to help enterprises overcome the obstacles commonly hindering data initiatives. Data Intensity’s solution takes the complexity out of implementing and supporting a multi-tool, multi-skillset solution, so that mid- to large-sized enterprises can finally extract the actionable insights they desperately seek. The new, customized analytics/BI solution also liberates organizations from the burden of building and maintaining their data infrastructures – enabling them to focus on serving customers, optimizing operations and growing their businesses.

Traditional data and analytics models are expensive, hard to buy, hard to use and difficult to manage because they demand many individual components, disparate solutions and complex architectures. Newer approaches are often oversimplified and not tailored to meet an organization's unique data infrastructure and business requirements.

Compounding the problem, data scientists are expensive, in short supply and are often under-utilized. This host of issues is continuing to inhibit enterprises from implementing effective analytics and BI strategies, but Data Intensity's Analytics1 is solving the problems.

"Analytics1 eliminates the barriers to constructive data analysis, creating a single cloud-based environment, leveraging state-of-the-art tools, that delivers the performance, security and availability companies expect from an enterprise-class solution," said Marc Caruso, chief technology officer, Data Intensity.

Comprised of the following elements, which can be customized to meet the individual needs of each organization, Analytics1 helps enterprises make data manageable and meaningful:

  • Analytics Services (Quant on Demand) – Addresses the skills shortage head on, supplying enterprises with expert data analysis for a defined period of time or on an ongoing basis, depending upon an enterprise's needs.
  • Visualization Services – Equips organizations with a visualization service desk, featuring cutting-edge Tableau, Oracle and Microsoft technologies.

  • Data Architecture Services (ETL/MDM) – Delivers services to design an organization's access to data, such as data modeling, data warehouse development and data migration to ETL and master data management. Data Intensity utilizes technologies such as Informatica, Microsoft SSIS, Oracle Data Integrator, RapidMiner and Oracle Data Modeler tools, among others.

  • Application and Database Management – Provides application and database management in the cloud or on premise, supporting Oracle EBS, Hyperion, OBIEE and PeopleSoft to Oracle, Microsoft, MySQL, Postgres and MariaDB databases as well as middleware and the storage and server infrastructure.

Analytics1 is ideal for any mid- to large-sized organization looking to either boost the effectiveness of its current analytics and BI initiatives, or jump-start new data projects. Moreover, it does not stop there. Data Intensity provides ongoing expertise to help customers maximize the value of their data as well as their analytics and BI investment.

According to John Bostick, president of Data Intensity's Analytics Division, "Data projects are failing and it all comes down to complexity, capacity and capability. Analytics1 is a first-of-its kind offering because it takes on all three of these issues by providing a complete, cloud-based analytics solution at a competitive monthly cost."

It seems that enterprises no longer need to play the costly game of engaging with multiple vendors for multiple technologies and services, or take on additional overhead to staff analytics initiatives.

By MediaBUZZ