Business Intelligence

Business intelligence (BI) is collected using a combination strategies and technologies deployed for the purpose of data analysis of information produced by the operation of a business or oganization.

Strategic delivers to its clients a wide range of expert Business Intelligence resources to choose from from around the globe.

Moving data between systems requires many steps: copying, restructuring, enriching, cleaning, filtering, anonymizing, joining, cocking, bulk migrations, and identifying patterns. Strategic will manage this data pipeline, ensuring process reliability for all data collection and manipulation.

 

The advantage of leveraging BI technologies is that when deployed properly they can handle large amounts of both structured and unstructured data to help identify, develop, and create new strategic business opportunities. They allow for the straighforward interpretation of  data, often in real-time. Identifying new opportunities and implementing an effective strategy based on these business insights provide businesses with a competitive market advantage.

Analyzed properly, this data can provide historical, current, and predictive views of business operations. Common benefits from developing business intelligence capabilities and technologies include accurate real-time reporting, online analytical processing, data ingestion and integration, data visualization, data mining, event processing, business management, benchmarking, predictive and prescriptive analytics.

To be useful, BI must increase the accuracy, timeliness, and amount of data available for analysis. These requirements mean finding more ways to capture information that is not already being recorded, checking the information for errors, and structuring the information in a way that makes broad analysis possible.

This being said, with the excitement surrounding the perceived benefits that can be derived from big data, many organizations are now attempting to capture everything. The benefit of employing a qualified data analysts is that they are good at filtering out data sources to help find a primary selection of data points that can best represent the health of a process or organization as a whole. This can reduce the amount of data that needs to be collected and reformatted for analysis, which saves both time and money, and also decreases the time needed to present important data that can be used as actionable intelligence.

However, for organizations that have data that is unstructured, or is not easily collected and analyzed, there are BI products available from software vendors that provide solutions that efficiently organize and visualize the valuable and actionable information that is hidden in the data. These are enterprise-level software applications designed specifically for the purpose of unifying a company’s data and analytics.

Although software solutions continue to evolve and are becoming increasingly sophisticated, there is still a need for data scientists and engineers to manage the trade-offs between the level of effort required to collect the data, the timeliness of actionable intelligence, and the level of detail of the final reporting.