Requirements for processing and delivering data are rising continuously. Therefore, it is increasingly important to accumulate, process, and cultivate the growing volumes of data as fast as possible for analysis. Manual processing can no longer keep up with this development. Hence – we need to rethink. One can cope with this situation through automated data warehousing: an automated data warehouse (DWH) drastically speeds up data processing and evaluation. For many years, we have been executing automation projects at b.telligent for our customers, and have accordingly gained considerable experience in various sectors.
DWH as the Foundation
A DWH serves as the foundation of BI and CRM systems, by providing significant support for the following business processes:
- Management information systems like online analytical processing or reporting
- Analytical CRM
- Business process optimization
- Data mining
- Customer lifetime value
A DWH integrates data and information from various departments and related systems in your enterprise. Typically, it incorporates socio-demographic data, service information, or financial parameters. After processing, the data are applied by other systems to generate corresponding value for your enterprise.
What is DWH Automation?
DWH automation is a combination of new data warehousing programs and methods to boost the efficiency and effectiveness of data warehousing processes. This involves more than simply automating and creating a DWH. It spans the entire lifecycle of a DWH: planning, analysis, design, development, documentation, operation, maintenance, and change management. The former wave-like approach leading to a big and long development process to fully recreate the DWH is a thing of the past. Now, each function is set up incrementally in an iterative process, reflecting modern agile software development that allows you to adjust your requirements during the project.
Benefits of DWH automation
Save time and money and minimize risks. These are the greatest advantages that you can achieve from such a project – provided you consider all facets of automation. Our experts have found that one often neglects the documentation, because of time and cost pressures. Therefore, our consultants at b.telligent take a comprehensive approach that accounts for the entire lifecycle of a BI/DWH solution.
The six facets of DWH automation
Successful automation calls for agile thinking and approaches in all fields. You can bank on b.telligent to deliver added value in all six facets of the process to automate a DWH:
Automating the infrastructure gives your enterprise verifiable competitive advantages from economic, organizational, and architectural standpoints.
Specialized DWH tools offer numerous possibilities to self-develop DWH solutions.
Automated testing reduces your enterprise’s effort and costs.
Automation speeds up deployment and raises stability.
Your enterprise’s operation can become markedly better through automated analysis and maintenance.
Thanks to automation, a simple click generates most of the documentation.
At b.telligent, we enable you to benefit from the many sustained and long-term advantages of an automation project. At the same time, we help your enterprise to save costly and complex follow-up tasks.
Data Integration – Decisive Factor for the best possible Information
Integration of data is one of the key processes to get all possible benefits from automating a DWH. It goes without saying that the aggregated information from a DWH is only as good as the raw data fed in from diverse systems. In other words, data integration must function quickly and deliver top-notch quality. At b.telligent, we set up our Competence Center for Data Integration & Architecture for precisely this purpose, i.e., to coalesce the competencies from all facets of data management, system architecture, and data integration. Through a host of DWH projects, we have demonstrated that both our comprehensive approach at b.telligent and the expertise of our consultants guarantees sustained, long-term benefits over the entire lifecycle of a DWH.
Data Quality Management (DQM)
Enterprises typically underestimate the significance of the quality of data for the success of information systems. Although enterprises invest in quality assurance systems, the quality of data is still being neglected. The widely-used DIN EN ISO 9001 and the standard for data quality, ISO 8000 are key foundations for fulfilling the basic standards.
You can address the problem of poor quality data by basically monitoring its quality – through early, automated recognition and correction of deviances in databanks in the DWH. Since complex systems like a DWH are especially prone to poor quality data, one must have automated processes to efficiently check the quality. Therefore, the quality of data has to be monitored when loading a DWH to ensure regular checks of critical objects and key ETL processes. You can bank on our experts to apply their knowledge of best practices to successfully incorporate effective data quality criteria and standards for risk reporting.
Agility – also a Criterion for an automated DWH
Agile data warehousing (ADW) is a must – because the latency in retrieving the data from a DWH for customer service portals is becoming ever more significant in a world of omnipresent information.
At b.telligent, we apply diverse strategies to differentiate cycles and granularity, along with custom-adapted data loading and process architectures. Consequently, we achieve real-time results and make the ADW agile for a dynamic future. Our consultants also use Scrum for ADW, an approach that we deploy on more than just our BI projects. Such agile methodologies save you time and enable you to complete projects efficiently.
Our partner network in data warehousing
Data Warehousing – b.telligent empowers you to lay the Cornerstone of Success
Having a well-functioning DWH is the key to the success of your enterprise. No wonder, Angela Merkel called data the “raw material of the 21st century.” With a DWH, your enterprise can effectively process data/information from diverse sources. The end product is information of relevance for company management and decision-making: e.g., information that allows you to better and more accurately deal with customer needs, and thereby strengthen your market position.
For many years now, we have been advising leading enterprises in the telecommunications, trade, financial services, utilities, and media sectors. Bank on b.telligent’s mature capabilities and experience in all facets of DWH to empower you to successfully and sustainedly plan, execute, and manage DWHs.
Stay up to date with our DWH blog
The foundation for the articles in our DWH blog is laid by the numerous customer projects of b.telligent consultants. Our consultants process the experience gained in a wide variety of articles on current problems, solutions and innovative approaches in the DWH and BI world. The aim is to always provide practical added value and important tips for the successful implementation of DWH and BI projects.