BI Cube Mining
What version of MS Access do you use? Do you recognize any of these problems? Have you encountered any of the following issues with MS Access?
- Crashing Tabs or Slow performance
- Database size exceeding its limit
- Complicated Workflows
- Crashes and corrupted data
- Compliance issues
What can PCA do for you?
Our BI developers have successfully implemented business intelligence solutions in a broad range of industries and line-of-business applications. Before we begin our Business Intelligence Service engagement, we assess your business objectives, KPIs, and the underlying sources of historical data. A repeatable end-to-end data flow can be built once the business drivers and data sources have been identified.
End User Interface
As BI consultants, our focus is not on the BI infrastructure, but how to deliver the appropriate data to the points of need within your organization. The user interface for this data must be friendly, or else it will cause even more complications. As a result, our primary objective is to provide an intuitive, easy-to-use, and highly flexible interface for BI applications to meet business requirements of users.
PCA is able to build robust custom BI solutions faster, at lower costs, and with significantly fewer technical risks than most packaged solutions.
Perks of Bi Cube Mining
An organization’s business dashboard provides highly summarized graphs of its key performance indicators (KPIs). Dashboards can be filtered to show data specific to certain parts of the business. These are designed to be easy to use and to provide the minimum information needed to spur management inquiry or action.
MS Excel pivot tables are commonly used to introduce people to business data analysis. Data sets are usually summarized in two dimensions (rows and columns). SQL Pivot Grids will greatly benefit professionals used to analyzing business data in Excel pivot tables.
Cubes are like higher version of Excel Pivot tables. They are calculated by adding up data (measurements) across different categories (dimensions). OLAP cubes are consistently faster than SQL relational databases and can produce powerful queries based on metadata.
The purpose of data warehouses is to store and analyze information. BI reports may be generated directly from relational databases, but often, it is more effective and convenient to preprocess information from various sources into a formal data warehouse to speed up processing and simplify data management. Your OLTP and OLAP applications will be able to operate together more efficiently.