HighMind is there for expert advice, integrated solutions or ad-hoc operational support. We can help you at each step of your road to full data maturity.
If you are only taken your first steps in data-driven decision making or you are ready to experiment with the newest AI tools, no matter what stage you are at, we can offer you the required guidance and support.
The value of data has evolved tremendously over the past 20 years, however few companies have adjusted their approach on how to capture, share and manage corporate data. Data-driven decision making can only be successful if it is based on a clear company-wide data strategy. Where do you stand today, where do you need to be tomorrow and what are the steps you will take to achieve your goals?
Our data discovery solutions help you to build your data-driven journey bottom-up always keeping the end goal in mind. You have a business goal and you want to solve the riddle with the data that you have available. The first challenge you’ll probably face is knowing which data you have available, what is missing, where is it stored and how all these sources are linked. We help you find your way back through the maze.
Data quality and data trust, two concepts that haunt countless businesses day and night. Would you build your house if you knew that your foundations were rotten? Probably not… For data-driven solutions it is the same issue. If you want to build solutions up from the foundations, you need to make sure that these are of high quality and can be trusted.
Building data-driven solutions often comes with the challenge of blending your sources correctly. DWH, data lakes, MDM, data pipelines, api’s, cloud storage, on-premises, … what is the solution you need to build your data-driven solution on? Like all successful DJs you would want to hit a perfect set, HighMind and its partners mix the perfect data set for you to build your solution on, tailored to the best possible fit with your current architecture.
Your data can tell you what happened, why it happened, what will happen and it can even predict the future. Our advanced analytics solutions will analyse your data with the adequate solution, ranging from one-time ad hoc analysis based on statistical methods, to advanced artificial intelligence applications. Going one step further, we will design the advanced analytics solution that can integrate seamlessly into your applications.
Any good captain does not start his journey without a navigational map. Although the route may not be exact, he has some anchor points he can refer to, to check that he is still on course towards his end goal. Running a successful company is not different. Before you start any project, you need to mark your end goal. To make sure you stay on the right track you define measure points and performance indicators, so you need to set-up the right KPIs and metrics. Reports and dashboards allow you to follow-up on your current status or provide you with the necessary insights to adapt your course.
We draw your data navigation map:
When you speak about data-driven solutions, you speak about data governance. Your solution will only remain sustainable for the long run if you have set the game rules. Before you play a game, the rules must be clear and someone should be watching over it that these are followed. HighMind can develop your data governance model that has the right balance between the offensive and defensive approach and adapt the model according to the different business purposes.
We help you set the rules of the game:
CMO: I don’t know where to find the data to build my 360° view on the customer?
CFO: I’m missing data to correct set-up my financial dashboard?
CIO: I need to reduce the cost of operational support on all databases within the company, where do I start?
Compliance officer: How can I comply with the GDPR if nobody can tell me exactly which personal data we have and where it is stored?
CMO:I can’t set-up any marketing campaigns based on predictive analytics, because I have no access to the order history of my customers?
- Planning Officer: I want to set-up a more efficient resource planning solution, but it needs to integrate with many other databases in our company to reach its full potential.
CMO:I have so many duplicate records in my database, I don’t trust to use this data set for my marketing automation strategy.
CFO: Our financial performance calculations differ from the results our sales director presents.
COO: Our stock management always needs to be recalculated manually, I can’t trust the outcome of my predictive analytics.
Risk Manager: I need a credit risk model, that can cluster and predict customer group that will default in payments
Chief Engineer: I want to reduce my operational failure cost by implementing proactive maintenance
CMO: I need a solution for churn reduction.
Sales Director: Am I using the correct geographical allocation of my sales resources?
CEO: When I wake up in the morning I want to see in five seconds how my company is performing
HR Director: I need to present weekly at the board our employee cost per manufactured item.
Procurement Director: Our team needs to be able to weekly follow up on supplier spent, with direct access to the negotiated rates.
CIO: Which business owner can I contact when change requests arrive at my department?
Compliance Officer: we need a data governance model to comply with regulations
CEO: What do we need to continuously expand our data-driven decision making strategy?
CMO: When we speak about customer lifetime value everybody has its own method to calculate this.
Luc is an accomplished business leader with a knack for turning strategies into actions and results. He has a track record of achievements at the highest level both in business and in developing and implementing state-of-the-art technologies. Luc transforms businesses into data centric organisations — defining data strategies and designing and executing data management or governance programs. He has advised companies in various sectors in their deployment of a diverse range of data use cases. Luc is an engineer with a Ph.D. in applied mathematics. He is an expert in distributed computing technologies and the recipient of several awards for the design of new computational methods.
Peter has over 20 years of leadership experience in driving profitable growth of dynamic start-ups, global corporations and at premier consultancies. He is an accomplished delivery focused, transformation manager with strong data management expertise and with extensive C-level experience serving as an architect for change. He has led various data management, data governance and data quality initiatives to put in practice value generating data use cases, to support quickly expanding digital activities, and to tailor data management tools in an agile way of working. Peter holds an MBA from INSEAD, France, and an MSc. in Electrical Engineering.