Data Leadership Is the Way to Get Your Company Ready – for the '30s
Our digitized world never stands still and never stops to take a breather. Data are both the result and the driving force of this restlessness. Without data, there would be no Internet of Things or Fourth Industrial Revolution. In theory, most managers are aware of this, but in practice, many organizations are still struggling to keep up with the pace of development. Gartner even describes their typical data management as "disastrous".
Yet the challenge could hardly be greater: An ever-increasing data deluge must be managed and used. Businesses collect an incredible amount of data in silos that barely interact and, as a result, eventually get lost in IT systems. Conversely, consistent data that is optimally used is an incredibly valuable raw material for corporate development. You need three things to achieve this: a clear data strategy, real data expertise - both strategic and operational - and the willingness to develop your own corporate culture accordingly.
Data Leadership: Not Just Another IT Project
Most companies do not yet have a consistent data strategy: their siloed projects are often expensive, slow, and ineffective. The key to data leadership is to define your own goals, determine the desired impact and, most importantly, align your organization, processes, and IT accordingly. The teams in charge must share a common data vision. This may seem obvious, but it can be extremely complex in practice. We have many years of experience with countless similar projects: we ensure that you do not lose your competitive edge and, thus, a lot of money.
Data Leadership = Customer Satisfaction?
Everyone is talking about the vast potential of data. So why do many companies only use it for minor, rather superficial improvements? On the one hand, as already mentioned, this is due to a non-existent data strategy. On the other hand, businesses often are not interested in focusing on their own customers in a consistent, even "radical" way: What do these people need, look for, and want? What do we know about them, and how can we use this information to engage our customers? Together we will identify the opportunities and potentials. Promise!
ACC — Acceleration
What Is the First Step?
Powerful quick wins through rapid optimization of your most valuable data and processes
EXA — Examination
What Opportunities Are We Talking About?
Tangible competitive advantages by identifying and unlocking your biggest data potential
INV — Invention
How to Really Get Ahead of Your Competition?
Revolutionary solutions based on an experimental approach and co-creation with your data
Consistent, accurate, and unambiguous master data are the cornerstones of digitization. Data quality is an essential intangible asset. No matter your data issue, we support you throughout the process. To this end, we use initiatives such as Master Data Management (MDM), Data Fabrics and Data Lakes. Improving data quality means ensuring that business processes can be executed efficiently and accurately.
Customer experience is the driving force behind revenue and customer loyalty. In this context, data creates a directly measurable added value. We consider how data can be effectively processed, maintained, and presented to the customer. We use initiatives such as Product Information Management (PIM), Customer Data Platform (CDP), Digital Asset Management (DAM) and Publishing.
With the proliferation of cloud tools, data integration strategies have become increasingly important. Data integration comprises the methods, technologies, and tools to ensure consistent access to and provision of data for all applications and business processes across the organization. We focus on data integration tools and the integration of cloud data.
AI & Analytics
Making good decisions requires new analytic techniques and AI/ML. We help our customers make data-driven decisions by processing data with artificial intelligence (AI) and making them accessible in advanced analytics tools. Based on leading AI and cloud frameworks.