Business Analytics
Analytics have become a crucial ingredient in achieving corporate objectives and managing strategy execution. Insights gained from Business Intelligence, Corporate Performance Management and Data Science influence corporate strategy and allow management to make decisions and even to develop completely new business models based on data.
element61 has an end-to-end offering ranging from Analytics roadmap definition to implementing the Analytics roadmap, building the Analytics organisation, defining or re-fining Analytics processes and delivering Analytics training and coaching or supporting you through a post-go live ServiceDesk.
Our Analytics experts can guide you in defining the processes, metrics, technologies and architectures that will help you track your performance and benefit from the promise of Data & Analytics.
Business Intelligence
Today and even more tomorrow, organizations should be using a new secret weapon called "information", obtained from intelligently transforming data into insights. Highly integrated company information empowers users with new insights about business drivers and how to better meet the strategic objectives of their organization. Data indeed has become a new company asset.
This information is brought to their fingertips through the means of Business Intelligence solutions, often based on a Data Warehouse architecture. Data transformation, through ETL (Extraction, Transformation & Loading), Data Integration, Data Quality processes and Master Data Management are all part of a sound Business Intelligence architecture.
Performance Management
Corporate Performance Management (CPM) was a term originally coined by Gartner in the early years 2000. Also Enterprise or Business Performance Management (EPM / BPM) are used as synonyms, depending on the vendors.
element61 has a particular focus in assisting organizations in optimising processes around Planning, Budgeting and Forecasting, Financial Consolidation and Reporting, Tax Reporting, ESG Reporting and Disclosure Management.
We can assist in defining a Performance Management Roadmap, and executing it by automating Enterprise Performance Management processes in the organisation, where relevant building on the data warehouse infrastructure that the company already has invested in.
Read more how we define the framework of Performance Management with solutions like CCH Tagetik, Vena, Prophix, SAP, Anaplan and IBM.
Data Science & Analysis
Turning data into value. Driving decisions with intelligence.
We help organisations turn data into practical tools that support better decisions, stronger operations and smarter growth.
Our Data Science & Analysis team brings together data scientists, analytics experts and AI strategists. We focus on building AI solutions that work in the real world. That means machine learning models that improve over time, and generative AI applications that are embedded in your business processes.
We work with you from start to finish. Whether you are building your first model or scaling AI across departments, we help set up a clear, structured approach. This is what we call the AI Factory: a way of working that brings together clean data, the right technology, skilled users and responsible governance.
What we help with:
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Building AI solutions, using both machine learning and generative AI
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Developing business-ready GenAI applications, embedded in workflows
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Improving data literacy, with training, coaching and use-case-driven learning
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Strengthening data storytelling, with clear dashboards and better visualisations
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Extracting business value, from sales and marketing to supply chain, finance and manufacturing
Our approach is hands-on and flexible. We don’t just advise. We build with you, coach your teams and help you deliver measurable results.
Data Governance
We often hear the phrase “Data is the new oil (or gold)” or “Data is a key asset”, but if we are serious about this, then we need to start managing and governing our data more professionally. Most organizations are still relying too much on unstructured processes and manual interventions in Data Governance, whereas the technology, know-how and best practices to improve this are available. The untapped potential that every organization still has in its data is huge, so even small improvements in better managing data are likely to provide a huge ROI.
Achieving improved Data Quality can be automated and will lead to fewer operational issues, it will reduce manual efforts and will benefit the decisions we make.
Addressing Master Data challenges, both in operational systems and the Analytics environment will lead to a single view of the truth and more consistency in how we look at our data across functions & departments.
Getting better visibility on our Metadata through a data catalog or business glossary will increase the understanding of our data estates and communication about this with our colleagues.
element61 can help you in this journey, by assessing your Data Governance maturity and identifying pragmatic steps to improve, based on lessons learned that also helped other organizations. We help our customers in making the right choices on architectures, technologies and - last but not least - processes and roles they can introduce.
ESG Reporting
Environmental, Social and Governance (ESG) awareness is rapidly maturing in the shadow of this digital acceleration. Sustainability is no longer just the playground of investment bankers and fund managers. A new set of EU regulations (EU taxonomy, CSRD, SFDR) and international standards are rapidly emerging as well as ESG ratings to benchmark companies and eco-labels and other certificates to differentiate you as a company from competitors and to inform consumers objectively about your products and/or services.
According to the principle of double materiality, it becomes important to know both the impact on your organization (from the "outside-in" perspective) and the impact of your organization on the outside world (the "inside-out" perspective). A variety of topics deserve your attention: for example, greenhouse gases, air quality, water management, circular economy including the use of scarce goods, good labor practices, data security, risk management, and digitization,...
The sooner your organization knows the "material topics" to make a substantial contribution, the sooner you can start collecting data and reporting on them. Because it is still a new area of knowledge, it can be difficult to find qualitative data. Our ESG reporting experts can guide you in defining the processes, KPIs, technologies and architectures that will help in your disclosure as well as provide insights to adjust your actions and strategy.
Technologies
With our consultants having in average 10+ years of experience in Business Analytics, Performance Management and Data Science, our people typically have been implementing several of the leading Analytics technologies.
This includes IBM Cognos, Microsoft (Azure, SQL Server, PowerBI), Qlik (QlikView, QlikSense), SAP (SAP BW, SAP Business Objects, SAP BFC, SAP BPC) and a set of niche-solutions like Databricks, Fivetran, CCH Tagetik, TimeXtender, Prophix, Vena and Fluence Technologies.