Run your business with real insights
Often the journey to efficient data use in business is a long one. The path depends on the starting situation – whether the technology and processes are in place and the level of ambition the company has for utilizing data – internal process optimization or future forecasting, for example.
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Data-driven organisations perform better
Gathering enterprise data and providing business intelligence helps to significantly improve enterprise performance through better strategic and operational decision making. It also provides the basis for automating processes and activities for increased efficiency.
Anaytics are underutilized
According to Deloitte’s The Analytics Advantage, while the practice of analytics is progressing as a decision making resource, it remains in its early development stages. However, it is predicted to continue to evolve as long as it generates tangible financial benefits.
Structuring analytics is still challenging to most
A wide range of functions within companies benefit from analytics. But Deloitte's analytics report uncovered that more structure around the coordination and alignment of analytics is needed. Otherwise, the impact and benefits of the company’s data are not realized to their full value.
Data barriers to overcome
Organizations will be slow in capitalizing on the full potential of analytics unless they are able to overcome several key barriers. Data management and access to talent are the most problematic, claims Deloitte.
Management by insight is more important than ever. Understanding the business impacts related to changing situations can be hard if data is fragmented and planning is done in several places in isolation.
Leveraging business data systematically is essential for companies trying to win in the current market while striving to constantly improve profitability. Supporting management by delivering true insights that aid them in decision making can be challenging without a proper execution plan.

Analytics roadmap, regardless of your current data maturity
A truly detailed and company-specific data strategy is needed in order to obtain concrete value from data. Each organization's situation is unique and requires a close look at the existing technologies and human capabilities that are in place. Some companies need to put in a lot of work to first raise the degree of digitalization, then align business processes before onboarding new data assets. A knowledgeable partner can help accelerate the adoptation of analytics significantly.
We believe in starting with a holistic data strategy. Then, we help you realize the plan utlizing the best technologies and implement your data platform with a high level of automation. This, in our experience, helps achieve a lower TCO while providing you with near real time analytics.
Benefits
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Vision aligned with business requirements
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Development opportunities listed, a backlog created
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Use case definition created
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Data assets identified
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Architecture planned
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Roadmap from current state to the target
Let's improve your performance with the help of data!
Regardless of your company's current level of data maturity, we can help you grow into a data-driven organization. We have implemented countless data and analytics solutions to customers across multiple sectors, from wholesale and retail to manufacturing and finance.
First, we help you define your data vision and set your ambition level high. Then, we draw up an analytics roadmap for your company and help implement the required data architectures to extract and model data. We can also provide visualizations of the data to help you draw insights and run your business better.

Data strategy leads the way
We have developed a unique approach to defining a data strategy that enables you to manage by insights, is easy to understand and offers concrete deliverables.
Efficient data architecture and governance sets the ground for success
We help you select the best data management solutions, like data warehouses and data platforms, to meet your needs and goals. We are especially competent in leveraging enterprise data sources. We have developed our own data warehouse automation accelerator, Vincit DW Core™, which shortens project implementation significantly.
Visualization turns data into insights
We can help you understand and choose whether you’re looking for tools for self-service analytics, data visualization or various advanced analytics solutions.
Planning, profitability and pricing drive your business performance
We can implement advanced analytics solutions to support you in strategic, financial, sales and production planning. We can help you understand the factors of profitability and make correct pricing decisions as well as define the related processes and implement tools to improve your business performance.
Services for your data and analytics needs
Modern Data Platform
We can implement a modern cloud-based data platform that scales for your current and future needs. We believe in high level of automation that enables you to build your analytics to near real-time data.
Collaborative planning
With the help of SAP Analytics Cloud (SAC) and SAP Integrated Business Planning (IBP), we can provide you with answers to complex questions related to, for example, finance planning, demand planning and production planning.
Data visualization
The most useful visualization is created in collaboration with the people who use the data. We like to use a phased agile approach when creating visualizations. Our experienced Service Designers can facilitate demo sessions. Going forward, we could help empower key users to create their own visualizations, or create shared official versions and offer support.
Data architecture audits
If your current data architecture is not supporting your business or there appears to be technical challenges related to the way analytics have been set up, we can conduct an audit on the architecture and provide improvement suggestions for you.
Lifecycle services
Interruptions or unplanned downtime can significantly affect your business. We can provide 24/7/365 support for your critical services. Our maintenance model means we govern your data architecture even in multi-vendor landscapes, and help you minimize technical debt.
Our technology partners
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Microsoft/
Snowflake/
SAP/
Microsoft/
Snowflake/
Tableau/
Astrada/
DBtool/
Tableau/
Astrada/
DBtool/
Explore examples of our work
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