Checklist: How companies master the entry into Big Data
If a company wants to successfully implement the topic of big data, it should first develop application scenarios, then develop the necessary data sources, and finally evaluate the data with a mix of tools.
Big Data and Data Mining are becoming increasingly important. In the face of fierce market competition, only companies that react quickly to current market events will survive. Companies that use big data as a source of information are particularly efficient.
Big Data comprises data from different sources, which are available in different formats and are constantly updated. However, they can hardly be processed into usable results with conventional means: relational databases fail due to the volume of data and ETL processes are too slow and have difficulties with the diverse data formats.
The complexity of the data can therefore only be managed efficiently with the use of special Big Data technologies. The entry into Big Data processing always begins with scenarios of how data can help improve business processes or change business models. Once the projects have been identified, it must be clarified whether all the necessary information is available. If this is not the case, it is important to tap into new data sources - such as newsletters, landing pages, social media, Google Analytics or online portals and databases.
Now the data can be prepared, analyzed and graphically displayed with tools. However, there is no single tool that covers all functions. Only the linking of different solutions allows the adjustment to the individual needs.
Five tips for Big Data projects
- Department heads and specialists define which results are to be achieved.
- Data experiments reveal interesting correlations, yielding new insights.
- The data can be prepared with metadata without adapting the data source.
- The traceability of data models should be guaranteed at all times.
- Use available Big Data technologies instead of developing your own solutions
