Data analytics
Raise your data treasure and create real growth potential.
Optimized decision-making processes through data analytics
In the context of advancing digitalization, fast decision-making processes and a high level of innovation are decisive competitive advantages for companies.
Data analytics creates the necessary conditions by linking and analyzing the right data in a meaningful way and making it available with a clear benefit. We use the terms analytics and data analytics to encompass the areas of business intelligence and data science. This means that we not only provide answers to the questions "What happened?" and "Why did it happen?", but also to forward-looking questions such as "What will happen?" and "How can we influence it?". Ultimately, these are precisely the insights that will open up concrete competitive advantages for your business in the future.
Data analytics in practice
With our technological expertise, we support companies in the following areas, for example:
- Next Best Offer for a targeted approach to customers
- Shopping basket analysis to optimize customer loyalty
- Pattern recognition for fraud detection approaches
- AI-supported data quality assurance as the basis for valuable information retrieval
- Optimal architecture concepts for real-time oriented information retrieval
- 360-degree customer view for efficient service and support
_webcast
Hyand as a guest in the COMPUTERWOCHE webcast.
With IT modernization to a data-driven company!
Optimized decision making.
Concrete added value for your business
In order to benefit optimally from data analytics, fast and high-quality data integration is required in addition to the appropriate methods.
We use data analytics platforms in the form of a data warehouse, a scalable big data lake or a hybrid architecture.
The agile approach based on manageable sprints and clearly defined use case content has established itself as an efficient project methodology for the interaction between the platform and data analytics. The setup, development and deployment are supported by individual, modern and scalable architectures as well as highly automated development processes (generators and DevOps).
By using this agile approach and a modern architecture, we also enable you to obtain the right information for optimal and automated decision-making in your company. Take advantage of our extensive experience in the development of data analytics platforms and work with us to quickly realize concrete added value in your business. With small prototypes (proof of value), which are based on existing data warehouse environments, for example, we work with you to quickly identify the most economically relevant approaches. Step by step, we achieve cost-effective, validatable business success and develop architecture concepts that cover your exact needs, from pure data warehouses to scalable big data lakes and hybrid architecture approaches.
Business+
In conjunction with modern data science approaches, data analytics provides automated decision support and shortens implementation times, ensuring that the needs of customers can be determined in real time and corresponding offers can be tailored precisely. Increased sales, lower process costs and greater satisfaction are the added values that you benefit from when using our data analytics approaches in conjunction with machine learning methods.
Gaining knowledge
Identifying cause and effect through efficient data analysis (e.g. optimizing the customer journey)
Creating new analysis options (advanced analytics)
Generic rebuilding or modernization of data analytics platforms
Development/modernization with agile methods
Return on investment-oriented development/modernization of data analytics platforms using agile methods
Deployment and use of generators based on metadata
Fast time-to-market when setting up analytics solutions using metadata-driven generators
Merging data from different source systems and formats
No supplementary open data content
Integration and enrichment of supplementary open data content can be omitted, see above.
Integration, analysis and evaluation of unstructured data sources
Use of statistical functions and mathematical models (data science)
_hyand_success_stories
Discover our data analytics solutions
You too can benefit from our extensive experience with projects involving companies of all sizes.
HyExpert - the IT talk.
Would you like to know how you can take your company forward with our customized IT solutions? Do you have questions about specific digital challenges?
Contact us - we'll help you!