Main Functionality

Full BI-Stack Automation

From source to data warehouse through to frontend

  • MS SQL Server 2008-2022
  • Azure Data Factory Pipelines
  • SQL Server Integration Packages
  • SSAS Multidimensional Databases
  • SSAS Tabular Databases
  • PowerPivot (Excel)
  • Power BI
  • Tableau
  • Qlik Sense


  • Visual Studio Solution (SSDT)
  • Creation of DACPAC files

Modelling Approaches

  • Modeling is supported by several wizards
  • Top-down modeling
  • Buttom-Up modelling
  • Import from external modelling tool
  • Dimensional/ Kimball
  • Data Vault 2.0 and 1.0
  • The best of two worlds: Mixed approach of DV 2.0 and Kimball
  • Inmon
  • 3NF
  • Custom creations

Data Vault

  • Support from a AC data vault wizard do create the draft model automatically
  • Enhanced data vault functionality available
  • Strict Dan Linstead technics implementable
  • DV for small projects

Historisation Approches

  • Slowly changing dimensions (SCD) typ 0,  typ 1, typ 2, mixed
  • SnapShot historisation
  • Gapless historisation
  • Change-based calculations

Surrogate Key

  • Auto-increment, long integer
  • Hash key, custom definition of hash algorithm


  • Transformation wizard
  • Regular transformations (Views)
  • Manual transformations (Views)
  • SQL Scripts
  • Stored procedures
  • Manualy created SSIS Packages
  • Persistence of results


  • Azure SQL Server
  • Azure Data Factory Pipelines


  • Offers GDPR/DSGVO compliance design patterns
  • Source metadata exploitation
  • Support for roll based security (OLAP Cubes)
  • Data partitioning
  • Pre-deployment script and post-deployment script
  • Multiple environment support
  • Custom defined layers


  • Windows GUI
  • Embedded version control
  • Multi-user development supporting distributed development
  • Manual object locking possible
  • Predefined templates
  • Cloud-based repository
  • Cloud service support available
  • Data Lineage
  • Macro language for more flexible development
  • Predefined, datatype-based transformations
  • Example: Ltrim, Rtrim, Null2string, ..
  • Calculated columns in each DWH table
  • Single point development: whole design in AC possible. External development not necessary
  • Embedding external code
  • Automatic documentation in Word and Visio
  • Export to Microsoft DevOps, GitHub, ..
  • AnalyticsCreator repository is stored in a MS SQL Server and can be modified and extended with additional functionality
  • Online Wiki

Process support

  • ETL procedure protocol
  • Error handling on ETL procedures
  • Consistency on ETL failure
  • Rollback on ETL procedures
  • Automatic recognition of source structure changes and automatic adaptation of connected DWH
  • Entirely DWH lifecycle support
  • Delta and full load of data models
  • External orchestration/scheduling for ETL process
  • Internal orchestration/scheduling for ETL process with generated MS-SSIS packages
  • Several workflow configurations
  • No runtime for AnalyticsCreator necessary
  • Daily processing of created DHWs is run without AnalyticsCreator
  • No additional licences necessary
  • For design component no MS SQL Server necessary

Data Sources

Automatic Connectivity

  • MS SQL Server
  • Oracle
  • SAP/Theobald (DeltaQ/Tables)
  • Excel
  • Access
  • CSV/Text
  • OLEDB (e.g. Terradata, Netezza, DB2..)
  • ODBC (MySQL, …)
  • OData
  • Azure Blob Storage (CSV, Parquet, Avro)

Manual Connectivity

  • Any data source with C-Data connector > Link to
  • Hadoop with partner connector
  • Google BigQuery/Analytics
  • Amazon
  • Shop solutions
  • Facebook
  • LinkedIn
  • Twitter

Read more about connect to a datasource in our Wiki:

Define Your Own Connectivity

In all cases of access to source data an AC-metadata-connector is created.

The AC-metadata-connector is a description of data-sources you use for more easy handling in AnalyticsCreator. AC is able to create automatically a metadata connector by extracting the data definition from your source data. it contains information about key fields, referential integrity, name of fields and description.

Ask the community for pre-build metadata connectors.

SAP Connectivity

  • SAP metadata connectivity is included in all AC-packages.
  • Prebuild metadata connectors to SAP are available in the AC-cloud for free.
  • AC create automatically metadata connectors directly from your specific SAP system including all adaptions.
  • For development time you do not need to buy a SAP-3rd party connector.
  • Just for the daily loading process (at runtime) you need a purchase for example the Theobald connector.
  • All SAP modules can be reached through Theobald connectors.
  • AC offer a OEM license for Theobald connector

Microsoft Dynamics

  • Dynamics AX
  • Dynamics 365 Business Central
  • Dynamics 365

Export Functionality

Export To

  • Azure blob storage
  • Text, CSV files
  • Using any OLEDB or ODBC driver for the receiving target system
  • Automated type conversation
  • Export performed by SSIS or Azure Data Factory pipelines

Use of Analitycs Frontends

Push Concept

  • Power BI models will be created automatically
  • Tableau models will be created automatically
  • Qlik models will be created automatically
  • All models described here will be created at the same time

Pull Concept

  • There are many BI Frontends around which allows you to connect with the specified Microsoft data. Just ask your vendor or us what is possible.
  • AC offer you to develop a specific solution for your Analytics Frontend in the way that the model will be created automatically for your BI Frontend (Push concept).