Sat, 23 Feb 2019 00:41:31 GMT
NHS told to ditch 'outdated' pagers
The health secretary wants to scrap the “archaic technology” which costs the NHS about £6.6m a year.

Fri, 22 Feb 2019 00:11:47 GMT
Web watchdog warns over knee-jerk regulation of social networks
Internet Watch Foundation says regulation of social networks could have "unintended consequences".

Fri, 22 Feb 2019 00:13:12 GMT
Anthem video game set for tough debut
The futuristic squad-based shooter faces stiff competition from lots of established titles, say experts.

Fri, 22 Feb 2019 22:49:24 GMT
Nike app for self-tying shoe comes undone
The Google Android app that controls the new Adapt BB fails to sync with wearers' feet.

Fri, 22 Feb 2019 03:29:53 GMT
5G networks: Trump says US shouldn't block technology
The comments come as the US has pressured its allies to exclude China's Huawei from their 5G networks.

Wed, 20 Feb 2019 20:13:58 GMT
Samsung reveals Galaxy Fold and S10 5G
The "luxury" foldable-screened phone can run up to three apps at once when opened up into tablet mode.

Thu, 21 Feb 2019 11:54:52 GMT
Twitch: How Ninja was unseated as most-subscribed streamer
How Ninja has gone from a high of 200,000 Twitch subscribers to around 30,000 in only 10 months.

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.