dab: AnalyticIntelligence - New wine in new wineskins
As you may have seen, we have added a new product, dab:AnalyticIntelligence, to our website. This blog post describes the product and how it differs from our existing solutions with which you are familiar. The blog has been written by Ernst-Rudolf Töller, with whom we have a longstanding, trusting and collaborative relationship in research and development matters. I hope you enjoy reading the blog – please contact us at any time if you have any questions.
Stefan Wenig, Managing Director of dab: Daten – Analysen & Beratung GmbH
Starting point: Traditional data analytics is not the solution to all problems.
Many companies still envisage fundamental problems when transitioning from data analytics to real data mining:
- What does data mining actually look for; can it really show things in company data that can’t be found with SQL queries, for example?
- Even if new data analytics approaches can be found, can innovative concepts really be implemented using traditional hardware and software?
- And ultimately, don't all ideas of data-mining fail sooner or later due to skill shortages?
Transforming data into mathematical objects – moving away from traditional SQL-type queries or trivial process mining graphs
Using these deliberations as a basis, dab has developed the concept of the “data derivative”. Company data such as the data contained in individual or linked tables of ERP systems are transformed into mathematical objects. These objects permit new forms of “endogenous data analytics”. Now, data are no longer queried on a strictly external basis as happens with SQL queries, for example:
Example of traditional SQL query:
SELECT * FROM LIEFERANT WHERE Adresse IS NULL AND BankVerb IS NOT NULL
Here, a specific constellation is filtered in the supplier data: Suppliers without an address but with a bank account. This constellation is based on meta information/meta data of the user behind, who combines e.g. increased data criticality with this data constellation.
Example of a result based on endogenous data analytics:
Our product dab:AnalyticIntelligence is breaking new ground, combining the strengths of semantic knowledge and years of experience with the impartial view of data which accounts for data mining's appeal, without incorporating the many identified weaknesses. We are convinced that in a world in which machine learning and artificial intelligence are gaining increasing significance, the mathematical description of data and the associated data analysis will assume an important role. Deterministic queries such as those mapped by SQL-type queries are not obsolete – the more innovative and more efficient method of tackling large and complex data volumes irrespective of their source lies in approaches such as dab:AnalyticIntelligence.
We hope you have found this brief outline of the principles of dab AnalyticIntelligence interesting. Please contact us at any time if you have questions on this article, about data analytics in general, or about products from dab and ACL™.