Traditionally, analysis of data has been done upon request - when poor result has been spotted.
BI Nordic will push data analysis one step further by adding advanced analytics to the process. The vision is to build the intelligence into the solution and use the historical data to learn about the future.
Data - In this model, data from a variety of sources can be accessed and joined together. Examples of data sources can be spreadsheets, cloud based data, sensor or geospatial data.
Organize - Data from one or more sources will be consolidated into one controlled data source. How and where the data is stored is depending on its size, complexity and sensitivity. Using databases for storage is preferred, this to facilitate the maintenance of the data, such as recovery processes, performance tasks and data reporting.
Preparation - Data validation and integrity are vital components. Business rules, filters and cleaning schedules are used to transform the data so that the output data is "clean" and trustworthy.
Analytics - the BI Nordic vision is to automate the data analysis and make it both quicker and cheaper for the end user. Depending on the scope, anything from simple aggregations of values to advanced machine learning are possible implementations. The idea is also for the algorithms to provide analytic guidance for the future data collection. Each use case is customer- and industry specific and will be developed in close cooperation with the customer.
Visualization - finally the analytic content should be published and displayed as valuable information. This could be done through accessible intranet dashboards, sent directly to relevant personnel or a combination of the two.
The result can be presented in a variety of formats like high level KPI dashboard or detailed analytic reports. The report will, in addition to pointing out the issue found in the data, also include suggested corrections.
Closing the circle - The cleaning process presented under "Preparation" as well as the advanced analysis presented under "Analytics" will in a smooth way be operationalized and integrated in the future data collection part.
"BI Nordic will train your system to predict the future"