Sat, 27 May 2017 19:39:08 GMT
British Airways: Thousands disrupted as flights axed amid IT crash
Boss says power cut behind IT problem which saw all flights from Heathrow and Gatwick cancelled.

Sun, 28 May 2017 11:49:06 GMT
Hay Festival 2017: Stephen Fry's warning for the web
Delivering a lecture at the Hay Festival, the actor said society could face "dire consequences".

Sun, 28 May 2017 16:03:35 GMT
US might extend cabin laptop ban worldwide, top official says
Security chief John Kelly says terrorists are obsessed with the idea of attacking a US plane.

Thu, 25 May 2017 10:35:16 GMT
Google AI defeats human Go champion
Chinese Go player Ke Jie has lost two games of Go to Google's artificial intelligence.

Fri, 26 May 2017 13:04:34 GMT
Net neutrality: 'Dead people' signing FCC consultation
Campaigners say 'hundreds' have complained about their details being used to post fake comments.

Fri, 26 May 2017 16:38:38 GMT
Theresa May: Online extremism 'must be tackled'
The PM says the fight against so-called Islamic State is "moving from the battlefield to the internet".

Fri, 26 May 2017 09:13:30 GMT
Disney's Bob Iger says the film hack threat was a hoax
Chief executive Bob Iger said the company doesn't believe a ransom demand was genuine as "nothing has happened".

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.