Angoss Enables Companies to Perform In-Database Analytics on Microsoft Analytics Platform System
Toronto, ON – March 19, 2015 – Angoss Software Corporation (Angoss) announced today they have embedded Angoss’ in-database drivers for predictive analytics within the Microsoft Analytics Platform System.
Angoss recognizes that the use of Big Data is becoming a leading means of competition and growth for companies. Angoss has worked with Microsoft to design in-database drivers specifically for the Microsoft Analytics Platform System, which allows users to analyze data directly within their database without having to export it, and to deploy predictive models directly within the appliance.
Angoss is a key predictive analytics vendor with an in-database analytics driver that supports Microsoft Analytics Platform System. This helps overcome the usual challenges of moving data from one environment to another in a Big Data world, and optimizes the process of analytic data preparation, data profiling, model development and scoring, allowing analysts to take full advantage of the Big Data datasets contained within Analytics Platform System. In-database analytics enables IT and analysts to be more productive and responsive to the growing demands from business decision makers and analytics-based decision making processes. This solution aims to help businesses overcome their usual challenges of managing huge data volumes while optimizing analytical model development and deployment environments.
Some of the improvements enabled by in-database analytics include:
- Leverage your APS investment and massive parallel processing by running data mining algorithms on managed databases deployed on your most powerful servers
- Build models using extremely large datasets created within your APS platform that take advantage of both structured and non-relational data, all within a single appliance
- Maintain a central data repository for analytics, promoting standardization for modellers and BI users
- Reduce delay between data acquisition, preparation, and analysis by keeping everything within a single environment
- Control data access security to prevent data loss and misuse
“We are pleased to work with Microsoft to support the many companies that are looking to manage data preparation and modeling inside of their database without having to move data from one environment to another” said Bill Sheldon, Chief Solutions Officer, Angoss. “In-database drivers in Microsoft Analytics Platform System allows organizations to quickly and effectively apply predictive analytics against massive amounts of customer and business data resident within Analytics Platform System, and make the insight from big data available to the masses.”
“Adding in-database predictive analytic capabilities within our Analytic Platform System will allow customers to better utilize the power of the Big Data that Analytics Platform System allows them to collect, consolidate and analyze in ways they can’t effectively do today,” said Barb Edson, General Manager, Data Platform at Microsoft. “In an IoT world, the combination of in-database analytics which can be executed on top of relational and non-relational data in a single, scalable appliance which unifies Hadoop non-relational data within an MPP relational data warehouse, allows customers to finally realize the Big Data promise in near real time.”
In-database analytics takes predictive modeling and analysis to the next level by providing an efficient way for organizations to enhance their data exploration capabilities through an optimized analytical processing environment—within the database—to accelerate decision making and identify opportunities they can act on. The best-in-class technology from Angoss, now available in Microsoft Analytics Platform System, will enable companies to make better predictions about future business risks and opportunities, identify trends, and spot anomalies to make informed decisions more efficiently and affordably while staying within the database and ahead of the competition.
Angoss is a global leader in delivering predictive analytics to businesses looking to improve performance across risk, marketing and sales. With a suite of big data analytics software solutions and consulting services, Angoss delivers powerful approaches that provide you with a competitive advantage by turning your information into actionable business decisions. Many of the world’s leading organizations in financial services, insurance, retail and high tech rely on Angoss to grow revenue, increase sales productivity and improve marketing effectiveness while reducing risk and cost. Headquartered in Toronto, Canada, Angoss serves customers in over 30 countries worldwide. For more information, visit www.angoss.com