Business Intelligence

Does your data tell you what you want to know? Do you feel confident in making quick, informed decisions about what to do next in your business? BIQed can help you get from where you are now to where you want to be so that you make full use of the following core BI tools.
Predictive Analytics
Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Predictive analytics does not tell you what will happen in the future. It forecasts what might happen in the future with an acceptable level of reliability, and includes what-if scenarios and risk assessment.

Predictive models and analysis are typically used to forecast future probabilities. Applied to business, predictive models are used to analyze current data and historical facts in order to better understand customers, products and partners and to identify potential risks and opportunities for a company. It uses a number of techniques, including data mining, statistical modeling and machine learning to help analysts make future business forecasts.

Extending BI with Predictive Analytics
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Reporting & Dashboards
A business intelligence dashboard is a data visualization tool that displays the current status of metrics and key performance indicators (KPIs) for an enterprise. Dashboards consolidate and arrange numbers,metrics and sometimes performance scorecards on a single screen. They may be tailored for a specific role and display metrics targeted for a single point of view or department. The essential features of a BI dashboard product include a customizable interface and the ability to pull real-time data from multiple sources.

Oracle and Microsoft are among the vendors of business intelligence dashboards. BI dashboards can also be created through other business applications, such as Excel. Business intelligence dashboards are sometimes referred to as enterprise dashboards.

The business intelligence dashboard is often confused with the performance scorecard. The main difference between the two, traditionally, is that a business intelligence dashboard, like the dashboard of a car, indicates the status at a specific point in time. A scorecard, on the other hand, displays progress over time towards specific goals. Dashboard and scorecard designs are increasingly converging. For example, some commercial dashboard products also include the ability to track progress towards a goal. A product combining elements of both dashboards and scorecards is sometimes referred to as a scoreboard.

Business Intelligence with Dashboards
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Strategic Roadmapping
Building a strategic roadmap for your organization’s data is essential to ensuring that your business properly and accurately collects, manages, and analyzes all the data pertaining to your business.  A well-built roadmap enables a business to make smart decisions that keep it financially sound and on the competitive edge.  A strategic roadmap is a combination of two roadmaps: a BI roadmap and a data management roadmap.

Business Intelligence Strategy & Roadmapping
Get Educated
TED Talk: How Data Will Transform Business
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Asset Analytics
Asset Analytics focuses our “tool and team” approach to optimize the value of your IT assets for a faster ROI by enabling you to accurately represent your company during a vendor compliance audit with the following subsequent benefits:

  • Quantifying your compliance with all vendors, license agreements, leases, warranties, & contracts no matter how complex, yielding the following results:

    • Reducing labor costs expended in the investigation & resolution of compliance conflicts.

    • Optimizing management of multiple types of contracts for hardware or software assets.

  • Accurately discovering & reporting real time usage of software suites via local, remote, or mobile sources, yielding the following results:

    • Reducing contract costs expended on unused, underutilized, or under-deployed or over-deployed software.

    • Increasing current contract value with recommended license upgrade, conversion, consolidation or elimination
BI Assessment
Business intelligence is the next revolution in technology. In fact, it’s been upon us for over a decade now and has only just begun. At BIQed we define BI as the ability to get actionable item from all of your data, at any time, from any place, in order to make smarter, faster decisions. Ensuring your organization has a BI-ready infrastructure is the golden key to getting started. And it can happen much sooner than you think.

Data Warehousing

Critical to your business is the way your data is stored, which is inseparably connected to how and where. BIQed can help you understand, plan, implement, and utilize your data to the fullest through modern data warehousing appliances and integrated tools. Click through the tabs in this line of techology to learn more about each service.
Implementation & Integration
One of the most difficult challenges any organization has, from small business to enterprise, is converging data from various sources into a single point of view.  Even more challenging is converging data from multiple businesses or outlets when two or more companies, and pursuing a unified view of the larger entity’s data.  Challenges such as identically named data (customer information) from both organizations, among a host of other needs, create the need for integration.

Data integration is best performed within a data warehouse (DW).  A DW enables employees of an organization to perform analyses on all the data flowing into the DW regardless of its source. BIQed can assist your organization in identifying disparate sources of data where crucial data is currently stored, and create a strategic roadmap to design, implement, integrate, test and migrate the data into a data warehouse solution.

Data Integration Basics
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Data Integration Best Practices
Data Migration Basics
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Data Migration Best Practices
Migrating SQL to PureData System for Analytics (Netezza)
Modeling & Quality
No business intelligence or master data management initiative should start without a well-designed data model to guide the project.

Imagine trying to build a house without a blueprint. Sounds crazy, but that’s essentially what data management pros are doing if they neglect data modeling concepts before embarking on master data management (MDM) or business intelligence (BI) initiatives.

A data model, explains Steve Hoberman, author of a recent book on the topic called <i>Data Modeling for the Business</i>, is essentially the underlying architectural diagram that guides any number of data management and other IT projects, from MDM and BI to application development. He explains that data models come in different varieties and play different roles, depending on the particular project.  To get a basic understanding of how data modeling works and how to use it to its fullest advantage, follow the links below.

Data Modeling Basics with Steve Hoberman
Listen to the Podcast (12:00)
Resource Planning
According to Gartner, enterprise resource planning (ERP) is defined as the ability to deliver an integrated suite of business applications. ERP tools share a common process and data model, covering broad and deep operational end-to-end processes, such as those found in finance, HR, distribution, manufacturing, service and the supply chain.”

There are a variety of ERP applications which automate and support a range of administrative and operational business processes across multiple industries, including line of business, customer-facing, administrative and the asset management aspects of an enterprise. Thus, it touches the same areas as business intelligence while focusing on a different end goal.

Business Intelligence: BI tools typically access all of the data in your warehouse, as well as leverages those tools for executive and management level discussions involving strategic decisions.
Resource Planning:  ERP is a system which plans and governs the operational and transactional data, providing a viewpoint and associated insights exclusively from those perspectives. 

When considering the connection of BI and ERP in your business, it’s a best practice to start by looking for business benefits in the following four areas.  The first two areas are the most common practices for an enterprise.  The last two make the most significant impact, however.

  1.  Are there IT cost savings to be discovered or utilized?
  2. Can my current business process be increased in efficiency?
  3. Can I standardize my current business processes?
  4. How will ERP become a catalyst for business innovation.
What’s Your Strategy with BI and ERP?
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Database Support & Requirements

Database Support
Proactive database support ensures that your database environment receives the preventive care required to give you your data with the greatest degree of integrity. Reactive support responds to database needs 24/7 to maintain data quality. BIQed can help with:</p> <p style="text-align: center"><strong>Sales & Service</strong></p> <p style="text-align: center"><strong>Design & Development</strong></p> <p style="text-align: center"><strong>Conversion & Quality Assurance</strong></p>

Requirements Gathering
BIQed understands that businesses often cannot fully declare their needs in advance.  We also recognize that the better requirements are defined, the more likely it is that the ultimate product will meet your business needs. BIQed industry pros can gather requirements for:</p> <p style="text-align: center"><strong>Business</strong></p> <p style="text-align: center"><strong>Functional</strong></p> <p style="text-align: center"><strong>Technical</strong></p>