The business intelligence solution provides a framework that enables the presentation of raw data from various systems into meaningful and useful reports that can be used to better run businesses. It features a series of dashboards usually representing departments or functional groups within an organization. The dashboards allow the group to get on the same page with the latest information within the organization. This can include structured data like that present in ERPs or unstructured data like word or PDF documents. The business intelligence practice involves three areas of specialization: data extraction, data warehousing, and presentation.
Key features of the solution include:
User Self Service
The dashboards are designed to enable business users to do as much as possible without the need for involving IT. The portal enables users to create and add new widgets, add new users to slice and dice information into presentable reports based on a pre-defined data model.
Big Data Analytics
Big data analytics is a new trend in the business intelligence community which enables the processing of very large amounts of structured and unstructured data through parallel processing. Big data architecture reduces or eliminates the need to aggregate or pre-aggregate data in the form of pre-defined cubes. In scenarios where the query pattern is unpredictable and where real-time responses are critical, big data architecture is a clear necessity. Technology around big data is still developing and solutions are still implemented in specialized market segments. Our solution supports implementation through cloud variants of Hadoop and enables the presentation of this information through the conventional presentation tools described above.
The dashboards are available in both on-premise and cloud variations. Other than the visualization, the solution also supports online databases as a platform (PaaS/DaaS) solutions like Microsoft Azure and HD Insight.
Visualization is to data what a graph is to an equation. It helps represent the data graphically and makes the discovery of patterns and trends easier. Examples of visualizations include bar graphs, line graphs, Pie charts, Surface Area charts, Scatter plots, Heat Maps, bubble, doughnut, and radar plots.
Data from almost any source can be visualized using the solution. This includes most ERPs, Text, Excel, and other office files and any OLEDB/ODBC compliant data source. Most visualizations natively support representation of aggregated data like ‘total sales by quarter’.
The analytics engine mentioned above supports in-memory analytical querying. The feature reduces/eliminates the need to store and query data through physical disks. All the data is stored in a machine’s memory (RAM) enabling extremely fast data retrieval. In certain cases, this completely eliminates the need to pre-aggregate data or to create pre-designed indexes on the datasets.
All reports on the dashboard are built using HTML 5. This enables the rendering of all dashboards and reports on a variety of devices including the most popular mobiles. We support Android, iPhone, and Windows Mobiles by default.
- Classification: How are my sales $ related to the type of envelope we used for our marketing newsletter?
- Regression: What will my sales be next month based on the previous 4 years of data?
- Segmentation: What age groups buy my product the most?
- Association: What products do customers buy together most often from my store? (market basket analysis)
- Sequence Analysis: What pages on my website is the customer most likely to visit after the current page.
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