Sat, 24 Jun 2017 19:24:43 GMT
UK parliament hit by cyber-attack
MPs are unable to access emails remotely, as Westminster deals with a hacking attempt made on Friday.

Fri, 23 Jun 2017 17:10:33 GMT
Tech Tent: Uber at a crossroads
On the Tech Tent podcast this week, we explore the stunning resignation of Uber chief executive Travis Kalanick.

Fri, 23 Jun 2017 13:10:15 GMT
Snapchat map update raises child safety worries
An update to Snapchat lets people search for schools and see pictures posted by children inside.

Fri, 23 Jun 2017 03:59:27 GMT
Facebook launches initiative to fight online hate speech
Move is a response to UK government criticism that the firm doesn't do enough to curb online hate.

Fri, 23 Jun 2017 16:52:13 GMT
Router hack risk 'not limited to Virgin Media'
A weakness in some Virgin Media routers also affects routers by other providers, experts warn.

Thu, 22 Jun 2017 23:26:23 GMT
Could XPrize tablets replace teachers in Tanzania?
Teams around the world are competing to develop tablet software to replace a teacher in developing countries.

Fri, 23 Jun 2017 07:09:38 GMT
WannaCry helps speeding drivers dodge fines in Australia
Australian police cancelled hundreds of speeding fines after noting their systems were infected.

About MBS Software

Business Analytics

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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.