Analytics

If companies want to maximise the benefits of the Digital Transformation for themselves, they must sensibly manage and evaluate their increasing stocks of data.

The classic Business Intelligence topics (data warehouse, ETL, reporting, dashboards), as well as Big Data, Data Science and Deep Learning, search-based Applications, and Machine Perception and Artificial Intelligence, are all part of the subject of Data Management and Analytics.

We help our customers to generate economic benefits from data. We integrate heterogeneous data sources into traditional data warehouse structures and multidimensional analysis models, develop and implement Big Data platforms and real-time scenarios and make use of innovative search technologies. We use scientific methods to identify connections among large amounts of data and establish new findings.

We see ourselves as specialists for demanding tasks in the areas of Data Management and Analytics that need to be completed in a time-critical situation and for which, in many cases, companies do not have their own specialists available:

  • the modelling of highly complex cubes,
  • the integration of heterogeneous data sources,
  • efficient handling of very large volumes of data (Big Data),
  • scientific analysis of these data pools (Data Science),
  • tasks in the areas of Machine Perception and Artificial Intelligence and
  • the use of innovative search technologies in the corporate context.

 

 

Technology Stacks

Microsoft BI

  • DBMS / DWH mit Microsoft SQL Server Data Platform
  • ETL mit Microsoft Integration Services, Power Query
  • OLAP mit Microsoft Analysis Services
  • Tabular Modelling in Microsoft Analysis Services, Power Pivot
  • Berichtswesen und Analyse mit Microsoft Reporting Services, Excel, Power View, Power Map
  • Integration in Microsoft Sharepoint oder Power BI in Office 365
  • Sprachen: SQL, MDX, XMLa, M
  • Stammdatenmanagement mit SQL Server Master Data Services
  • Sicherstellen der Datenqualität mit den SQL Server Data Quality Services
  • Individuelle Erweiterungen und Anpassungen mit C#.NET, ASP.NET

Cubeware

  • ETL mit Cubeware Importer
  • Cubeware Connectivity for SAP Solutions
  • Reporting, Planung, Analyse und Dashboards mit Cubeware Cockpit V6Pro
  • Cubeware Mobile BI für Apple
  • Cubeware Mobile BI für Android (powered by inovex)

Open Source BI

  • DBMS / DWH mit PostgreSQL, MySQL
  • ETL mit Pentaho Data Integration
  • OLAP mit Mondrian
  • Reporting mit Pentaho Business Analytics
  • Big Data Analytics

Big Data

  • Hadoop, YARN, Map Reduce
  • Binary Data Formats: Thrift, Avro, Google Protocol Buffers
  • Interaktive Analysen mit Hive, Pig, Impala, Spark
  • Job-Steuerung mit Oozie
  • Data Ingestion: Flume, Sqoop
  • NoSQL-Datenbanken: HBase, Cassandra, elasticsearch, MongoDB
  • Machine Learning / NLP / Data Mining: Mahout, R, UIMA
  • Big Data Analytics mit Datameer (Installation, Administration, Customizing, Erweiterungen)

Search

  • Enterprise Search mit Lucene, SOLR, elasticsearch
  • Integration in Anwendungen und Portale
  • Machine Data Analysis mit elasticsearch, Logstash und Kibana
  • elasticsearch PlugIn-Entwicklung
  • Search-based Applications
  • Integration SOLR, elasticsearch und Hadoop / HBase

Further topics:

Patrick Thoma

Get in touch!

Patrick Thoma

Head of Data Management & Analytics

inovex Blog

Our Big Data Blog Posts

To the Blog Posts

inovex Blog

Our Business Intelligence Blog Posts

To the Blog Posts

inovex Blog

Our Data Science & Deep Learning Blog Posts

To the Blog Posts

inovex Blog

Our Search Blog Posts

To the Blog Posts