The challenge for companies of all industries is not just to store the increasingly large data quantities, as before, but also to manage and evaluate them, so as then to use them for holistic optimisation of all business processes. Of course, due in particular to the large amount of data, data quality and quality management play an especially important role in the evaluation.
Securing competitive advantages with Big Data analytics
Using Big Data analytics, employees from the data science field are able to analyse even data sources that are not taken into account by traditional BI solutions. Moreover, using Big Data analytics, companies can analyse large data quantities for hidden correlations and for information that is helpful for business success, thanks to which well-founded business decisions can be made. In this way, companies are able to secure increased competitive advantages for themselves over their rivals.
The world of Big Data analytics solutions
Traditional data warehouses as well as advanced analytics, which includes predictive analytics, machine learning and data mining, mostly no longer meet the requirements for processing unstructured data. A new class of Big Data technologies is available to you today. This includes:
- NoSQL databases
- Apache Spark
- as well as various other solutions from Hortonworks, Oracle, IBM, SAP, etc.