Wed, 26 Apr 2017 08:08:11 GMT
Naked selfie-detecting app Gallery Guardian tested
Gallery Guardian is designed to protect children from explicit images, but does not spot every snap.

Wed, 26 Apr 2017 15:13:31 GMT
Game guide malware 'targeted more than 500,000 users'
App-based guides for games like Fifa targeted more than 500,000 users with malware, a cyber-security company says.

Wed, 26 Apr 2017 12:41:57 GMT
Fitbit investigates report of 'exploding' tracker
A woman in Wisconsin said she suffered second-degree burns when her fitness tracker exploded.

Wed, 26 Apr 2017 22:47:02 GMT
US regulator wants to reverse net neutrality
The plan to roll back Obama-era rules may set off a fierce fight over how to regulate internet traffic in the US.

Wed, 26 Apr 2017 19:39:03 GMT
TalkTalk hack attack: Friends admit cyber crime charges
Matthew Hanley, 22, and Connor Allsopp, 20, accessed customer's information during the cyber attack.

Wed, 26 Apr 2017 09:25:29 GMT
Ted 2017: Scary robots that want to be useful
Boston Dynamics reveals the softer side of military robots, at the Ted conference.

Wed, 26 Apr 2017 14:14:53 GMT
UK protests Twitter's block on user data
Previously, the firm had allowed the government access to the data when investigating potential terrorist plots.

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.