Posts Under: Business Intelligence

June 13, 2013

Business Analytics


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Business Analytics

Provista has solutions

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Make informed and optimized decisions everywhere, to improve outcomes and manage risk

In business today, only the profitable will survive. While companies may strive to ramp up sales, increase market share, or hit customer service targets – there is no model to sustain a successful business without profits. As recent studies show, organizations that apply Business Analytics outperform their peers. 

Business intelligence has become essential in most organizations. BI is not constrained to individual departments in organizations, but rather is viewed as essential at the corporate level with many organizations now focusing on growing their BI maturity vis-a-vis prior states as well as peer organizations. BI is becoming part of business processes. It is being integrated with workflow, business automation and proactive systems, and is not constrained by any measure to post-operational processes alone.

Business intelligence solutions typically offer the ability to analyze quantitative data and produce information that monitors business performance. The analyses may be summaries or drill downs that present details on subsets of data. The BI infrastructure consists usually of the server platform, operating system, database management system, communications facilities, performance tools, BI tools and security tools. All data in the BI environment is created under a single architecture.

For optimum results, business intelligence analytics must:

1. Tap into all types of information

2. Empower people in all roles to explore and interact with information and deliver insights to others

3. Optimize all types of decisions – whether they’re made by individuals or are embedded in automated systems — using insights based on analytics

4. Provide insights from all perspectives and time horizons – from historic reporting to real-time analysis to predictive modeling

5. Improve business outcomes and manage risk, now and in the future

IBM calls this your “Analytics Quotient,” or “AQ.” It measures how ready you are to apply insight to your strategy and tactics; how quickly you can re-allocate resources and re-orient your people to make better decisions; and how effectively you can act, based on how well you know your past performance, current results and future possibilities.

The “Master” level of AQ (Analytics Quotient) indicates that data-driven decision-making is pervasive, and the organization can set top-down goals and allocate resources based on real-time insight into shifting operational and market dynamics.

It’s simple: The more you embrace analytics, the higher your AQ score. A higher AQ indicates that your organization has the potential to achieve improved outcomes.

It’s also simple to improve your AQ – IBM Business Partner solutions from Provista

Provista – Exactly what you were thinking™

May 17, 2013

Analyzing Analytics


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Analyzing Analytics

Using an IBM Premier Business Partner like Provista

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“The current Administration will require agency leaders to set priorities, demonstrate progress in achieving defined goals and explain performance trends.In an attempt to break down inter- and intra-agency silos, the performance model will give cross-program and cross-agency goals at least as much attention as program-specific ones .”  

Government Executive May 2009 edition


Organizations are becoming increasingly data driven, and despite the evolution of Business Intelligence, the ability of an organization to derive value from data will be key to its success.

Data must be accessible and integrated quickly. Expanding beyond traditional internal BI sources is necessary as data scientists examine such areas as the behavior of a company’s customers and prospects; exchange data with partners, suppliers and governments; gather machine data; acquire attitudinal survey data; and examine econometric data.

Building solutions must be fast, iterative and repeatable. Today’s competitive business environment and fluctuating economy are putting the pressure on businesses to make fast, smart decisions. Predictive modeling and advanced analytics enable those decisions to be informed.

Solutions’ models must be integrated back into business process. When predictive models are built, they often need to be integrated into business processes to enable more informed decision-making. After the data scientists build the models, there is a hand-off to IT to perform the necessary integration and support their ongoing operation.

Sufficient infrastructure must be available for conducting advanced analytics. This infrastructure must be scalable and expandable as the data volumes, integration needs and analytical complexities naturally increase. Insufficient infrastructure has historically limited the depth, breadth and timeliness of advanced analytics as data scientists often used makeshift environments.

  • What Are the Trends?
    Recovery.gov. Recovery.gov is the U.S. government’s official website that provides easy access to data related to Recovery Act spending and allows for the reporting of potential fraud, waste, and abuse.
  • U.S. OPM’s FedScope. This online tool allows customers to access and analyze data elements from OPM’s Central Personnel Data File. Customers include Federal government agencies, researchers, the media, and the general public.
  • Albuquerque Unified Crime Reports. Online, interactive crime statistics reporting tool that allows the citizens of Albuquerque to build personalized crime reports for their specific neighborhoods, to visualize trends and patterns.
  • DC Snow Response Reporting System. A mapping tool that shows which streets in Washington have been plowed, salted or both is being heavily used today, according to several blogs, Twitter posts and Facebook updates.

Why Business Intelligence? 

You might say well, ‘I have all the data I need and I do get some reports that tell me where my company stands. And I have a pretty good grasp of my goals, so why do I need a Business Intelligence Solution?’ Well, you don’t need BI if the vision of your business is just to get by and to be ordinary. But if you want to be leaps and bounds ahead of your competition and you want to be proactive, instead of reactive in your approach to business decisions, then BI is what can help you get there!  BI solutions from an IBM Premier Business Partner like Provista.