Tue, 28 Mar 2017 13:01:41 GMT
Uber to pull out of Denmark
New taxi laws requiring drivers in Denmark to have fare meters have led Uber to withdraw its services.

Tue, 28 Mar 2017 10:47:40 GMT
Exposed files on Microsoft's document-sharing site
Passwords and sensitive health data are among documents inadvertently shared by Microsoft users.

Tue, 28 Mar 2017 14:58:00 GMT
AI to dominate banking, says report
AI can help banks create a human experience even as more and more services are automated, says report.

Tue, 28 Mar 2017 09:45:13 GMT
Google Home to be launched in UK in April
The search giant promises a degree of Britishness in its smart home assistant, Google Home.

Mon, 27 Mar 2017 17:38:47 GMT
Samsung plans to relaunch refurbished Note 7 devices
The technology giant says it may be able to offer the recalled devices as refurbished phones.

Mon, 27 Mar 2017 12:21:14 GMT
WhatsApp's privacy protections questioned after terror attack
Privacy measures offered by chat apps are called into question by last week's London terror attack.

Mon, 27 Mar 2017 10:16:16 GMT
Apple wins iPhone 6 patent battle in China
The win removes the threat that Apple would not be able to sell the iPhone 6 and 6 Plus in China

About MBS Software

Business Analytics

Business analytics (BA) is the practice of iterative, methodical exploration of an organization’s data with emphasis on statistical analysis.  Business analytics is used by companies committed to data-driven decision making.

BA is used to gain insights that inform business decisions and can be used to automate and optimize business processes.  Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage. Successful business analytics depends on data quality, skilled analysts who understand the technologies and the business and an organizational commitment to data-driven decision making.

Business Analytics uses include:

•Exploring data to find new patterns and relationships (data mining)
•Explaining why a certain result occurred (statistical analysis, quantitative analysis)
•Experimenting to test previous decisions (A/B testing, multivariate testing)
•Forecasting future results (predictive modeling, predictive analytics)

Once the business goal of the analysis is determined, an analysis methodology is selected and data is acquired to support the analysis.  Data acquisition often involves extraction from one or more business systems, cleansing, and integration into a single repository such as a data warehouse or data mart.  The analysis is typically performed against a smaller sample set of data.  Analytic tools range from spreadsheets with statistical functions to complex data mining and predictive modeling applications.  As patterns and relationships in the data are uncovered, new questions are asked and the analytic process iterates until the business goal is met.  Deployment of predictive models involves scoring data records (typically in a database) and using the scores to optimize real-time decisions within applications and business processes. BA also supports tactical decision making in response to unforeseen events, and in many cases the decision making is automated to support real-time responses.

Business Analytics solutions for:
Business Intelligence
Connect people with information when, where and how they need it—online, on mobile devices and even offline. Drive greater collaboration to improve performance and results.
Predictive and advanced analytics
Discover subtle patterns and associations and develop and deploy predictive models to optimize decision-making throughout your organization.
Financial performance and strategy management
Guide management strategy in the most profitable directions with timely, reliable and transparent insights into financial performance.

Every business solution includes a set of standard technologies for:

Data management – Capitalize on the deluge of data flowing into your organization, identify patterns within data, and structure the data flexibly for decision making.

Analytics – Move from reactive to proactive decisions using the predictive analytics capabilities that only SAS provides.

Reporting – Get answers to more sophisticated questions, format presentation-quality results and easily share findings across your enterprise.