Make the most of your data with business analytics consulting

We are at the beginning of a new era: Data and information are multiplying exponentially and influencing entrepreneurial decision-making more all the time.

Business analytics helps us analyze and use huge amounts of existing data. This data is the key to becoming a winner in the digital transformation and optimizing company processes along the entire value chain. But which business analytics solutions are the right ones? Will the use of self-learning technologies and artificial intelligence pay off for you? Which sources of information, which software products can be incorporated and how?

One thing’s for sure: The consistent use of business analytics reduces costs, increases companies’ efficiency and control, improves knowledge management, and, in addition to the development of new business models, offers companies new strategic options.

For more than two decades, valantic has been assisting companies in the wholesale, retail, pharma, and manufacturing sectors, plus banks and financial service providers, and many more. IT and business analytics specialists are based in multiple locations in German-speaking Europe to ensure smooth, personal service.

In close cooperation with our Gold Partners IBM, SAP, and Microsoft, as well as our strategic partners Informatica, MicroStrategy, Anaplan, Cognigy, Tableau and WhereScape valantic has already implemented many successful customers projects and campaigns.

Digitalization of a company’s processes requires interdisciplinary expertise. For a central goal of the digital transformation is the consolidation of information, people, and processes for the digital expansion, reorientation, and optimization of business models.

This is precisely what our experts can do; they provide specialized departments and management with the specific expertise that makes the implementation and operation of digitalization solutions successful.

Every day, companies generate and save a lot of varied data. This data is primarily company-internal data – e.g. from customer relationship management (CRM) and enterprise resource planning (ERP) systems, from an online shop or accounting software. However, it can also be enriched with third-party data, such as weather data, social media posts, statistics.

But how can this data and information be made useful concretely and profitably for the company or the specific department?

Our consulting approach aims to work with you to plan, set up and successfully use an optimal reporting and dashboard environment in the long term. Rely on our proven best practices to create an efficient and valuable reporting landscape for your company.

We help companies plan, set up, and successfully use an optimal reporting and dashboard environment for the long term.

To meet today’s volatile market requirements, companies have to be more agile than ever. Proactive, networked decision-making support is crucial for long-term success. valantic planning solutions optimize companies’ resilience thanks to flexible planning, continuous forecasting, and simulations, as well as top-class performance management.

The goal of valantic’s planning solutions is to break down silos and create networked, department-spanning company planning in all core areas (strategy, operations, finance, IT, HR & supply chain). Advanced business analytics and planning solutions enable user-friendly analysis and efficient operationalization of strategic decisions.

Many companies are currently driving their digitalization forward at full speed. They are digitalizing processes and documents, networking ever more machines and end user devices, and generating more data as a consequence. But even without counting current digitalization and networking initiatives, companies already have an enormous stock of data in their ERP, CRM, and other IT systems. Added to this is the nearly inexhaustible data potential of external sources, such as a data lake. A DWH is required in order to make this data usable; to process, analyze, and evaluate it; and transform it into a consistent data stock.

The data warehouse serves as a central database system, a single point of truth that is used at the company for analysis. The system extracts, collects, historicizes, and backs up data from a wide variety of different data sources. Downstream systems are fed with data that is critical for making decisions. Among other things, it is used for metadata modeling and business analytics applications.

The data warehouse can be used in many ways at the company. As an instrument that can be used company-wide, it should help various departments and decision-makers flexibly and individually. The data warehouse provides the data required for users to analyze company processes and key figures. Further information for SAP Datasphere (Data Warehouse Cloud)

Business analytics is complemented by data science, which offers companies/organizations the opportunity – using scientifically based processes – to find patterns and draw valuable insights from their data (even if it is unstructured).

But the added value hidden in this data does not emerge by itself. Data science requires an expansion of business analytics with regard to:

• Training of the participants (data scientists)
• Data provision (data warehouse, data lake, Hadoop cluster, etc.)
• Tools and IT infrastructure for analysis and data processing (Python, cloud, and co.)
• Project organization (in the data science competence center DSCC)

To the Data Science services page

Our AI consulting is not just a theoretical vision, but already a reality that generates concrete added business value in sales, marketing, HR and production. AI projects from valantic have clear goals in mind: time, cost and efficiency gains, a noticeable improvement in the customer experience and the establishment of innovative, AI-based business models.

A groundbreaking study by the German Federal Ministry for Economic Affairs and Energy (BMWi) shows that companies can increase their profitability by up to 25 percent through the targeted use of AI. These benefits are no longer a dream of the future, but can also transform your company in the long term.

The integration of Conversational AI makes it possible to control cross-application processes via natural dialog, whether spoken or written. Conversational AI acts as an intelligent interface between humans and machines, revolutionizing the way we communicate and creating seamless interaction in our increasingly networked world.

In the course of visualization, more and more data is accumulating in ever more complex forms and increasing quantities. With the SAP analytics tools, large quantities of data can be structured and evaluated in order to gain valuable insights.

In particular, valantic can help with the construction of a sound database to enable decision-makers to perform analyses and make data-based decisions. The entire data life cycle, from generation to data integration and modeling, on through to data analysis, is incorporated. Important also, however, are data storage and archiving, deletion, and data backup.

The analytics solutions are only the tool, however. In order to be able to make sound decisions based on data, the data management and analytics solutions have to be attuned very precisely to the user’s circumstances and existing database. Only this way can data evaluation become a significant success factor.

We can help with our expertise in all areas of SAP analytics and data warehouse solutions, including the product SAP Analytics Cloud, SAP BPC, SAP BW/4HANA, SAP BW on HANA, SAP Data Services, and SAO Lumira. We also use the SAP Data Warehouse Cloud, SAP Data Intelligence, and native data warehouses with SAP HANA.

Learn more about SAP analytics solutions

The following success stories offer insights into the challenges, successes and transformations that our customers have undergone. Find out how we have achieved top performance together, overcome obstacles and implemented innovative solutions to ensure sustainable added value for our customers.

In addition to IBM, valantic Business Analytics also has a strong gold partnership with other globally successful providers such as SAP, Microsoft, and Amazon Web Services (AWS). A partner world without these heavy hitters on the market is inconceivable. In addition, our independent approach enables valantic Business Analytics to design customers’ IT infrastructures flexibly and create a provider-independent IT environment as a best-practice approach. The valantic group also distinguishes itself with 360° consulting, implementation, and support services for SAP services.

Aside from the big monolithic market leaders IBM, SAP, Microsoft and AWS, valantic Business Analytics specializes in the areas ETL processes with Informatica, one of the strongest global ETL players; with data piloting in the seminar management sector; Microsoft Azure Data Lake for reporting from unstructured data sources; in the reporting sector with various market-leading providers such as IBM Cognos Analytics with Watson, SAP Analytics solution, SAP S/4 HANA, Microsoft Power BI, MicroStrategy and WhereScape

Learn more about our business analytics topics in our blog, our webinars, and white papers.