Data Management
Also it is a simple concept, yet it needs to be explained to demonstrate its significance for a company.
Providing brief insights into data management creates transparency around this often “unloved child” and reveals a fascinating field that generates value.
In today´s world, no one can afford to ignore the positive impact that structured data has on their organization and on customer benefit.
Why Data Management must be thought of holistically
"Data Is the New Gold!"
Everyone has probably heard this in some form before.
But today it must be said correctly:
“Data is the raw material, and information is the energy for successful business.”
Data has always been generated in everything humans did. Today, we see that this data can be collected, processed, and used to create value for companies.
The key point is that the data is stored in a structured way in order to be further processed.
Only when the accuracy of your master data is ensured can you proactively move forward. However, if there is any uncertainty regarding the quality of the data, such as product or address data, your actions are limited. Rework must be carried out repeatedly to prevent follow-up errors. This leads to inefficient workflows, lost time, and frustration for employees and customers alike.
In order to achieve high internal productivity and strong customer satisfaction, it is essential to first focus on a solid data foundation using established processes.
Basis:
Your master data
The classification
of data
generates added value
Without strategic classification, data cannot be used optimally.
Only through classification is it possible to define which data should be treated as good or bad, or as reliable or incorrect.
On this basis, a company-specific level of data quality can then be established. Once this guideline has been defined, further internal improvements can be achieved and additional customer value can be generated.
Data are merely raw material that must be refined into information.
Only then can they enable us to make well-founded and successful decisions.
Without this transformation, data remain unused and provide no added value for business strategies or operational processes.
From data
to information
and from that
to decisions
Take action now
Do any of these arguments sound familiar to you?
Have internal departments or customers pointed out such deficiencies to you?
Are you looking for ways to achieve noticeable improvements for your customers – and thus for your market position – through clearly defined steps and a manageable time and budget plan?
Other consulting areas in the field of data management
Planning and implementation of a strategic
Master Data Management
The company-wide system landscapes, region- and country-specific data, as well as special modules or data that are not commonly used, are evaluated. On this basis, a company-wide data and system strategy can be developed.
Support in selecting and implementing systems for optimized data management
With such a wide variety of systems on the market, it is important to recognise that not every system is suitable for every company. With professional support, the right choice can be made, saving costly mistakes.
Measures for implementing customer-centric data storage and usage
Storing data for different business units is important. To make this data useful for customers, special considerations must be taken into account regarding the system and the output.
Support in selecting systems for tailored data publication and in their usage
The value-creating publication of a company’s own data is the central element of a customer-centric approach. The choice of medium and optimal use of the available capabilities are both crucial for success.
Support in selecting external data sources to optimize your own data
In the increasingly complex data landscape, it is difficult to generate all relevant data about products and their associated contextual data internally.
The number of data providers and the variability in data quality are increasing. Solid knowledge about the data being offered helps to avoid poor investments.
Measures for consolidating internal data and integrating external data
Companies can, if at all, only use data that is not centrally consolidated in a value-creating way with great effort. This effect is intensified when importing data from external sources into separate data silos.
Support on the topic of "New Opportunities through AI"
AI is one of the most frequently discussed topics at the moment. In order to identify efficient application possibilities, it is important to separate fiction from reality.