Target Vision: Data Culture

The aim of change management is to establish a living data culture and to win over, motivate and empower employees – especially future users of new systems – for change. In this way, we ensure that new solutions are used effectively and with conviction in everyday work.

Productivity

Motivated employees demonstrably perform better.

Quality

The quality of work increases measurably.

Satisfaction

Motivation and ownership strengthen satisfaction within the team.

Change Management

Data Ownership as a Success Factor

Modern data management puts people first – not technology.

E-Book

Data Culture

How to successfully transform into a true data culture

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In recent years, the focus of digital transformation has been on new software solutions and services, driven by ever-shorter innovation cycles in the technology market. Today, the focus is more on optimising existing solutions in a targeted manner in order to increase their business value in the long term. We support our customers in achieving this goal by making effective improvements to systems, data processes and workflows. In addition, we empower users to make optimal use of the available tools in their daily work. We do not limit ourselves to the functional use of the solutions, but also enable the development of skills and the use of tools to interpret data correctly and apply the insights gained to optimise strategies and work processes.

Data Literacy – an Important Pillar of Change Management

The ability to read data, recognise its business value and interpret it in such a way that valid conclusions can be drawn from it is becoming a key skill for more and more employees.

For them, data suddenly becomes a tangible metric that they can use to quantify their own work performance and demonstrate it transparently.

What Data Ownership Means for Organisations

Active use of data for individual business areas and processes increases the value of data not only for management, but also for employees themselves. Subject matter experts can identify the data that is relevant to their work processes and use BI tools and data visualisation to place it at the centre of their personal reporting. This creates security, controllability and control – aspects of data ownership that motivate those responsible to make the right adjustments and actively improve their own business outcomes – to the benefit of the entire organisation.

Our experts support you with targeted measures to help you build your data culture and ensure that your employees are reliably involved in the digitalisation projects that affect them.

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Deep Understanding of Your Challenges

Our experience across a wide range of industries provides you with unparalleled best practices and a solid basis for exceptionally successful solutions.

Retail
Retail

Focus on data quality from onboarding to online marketplaces.

The retail industry is colorful, fast-moving and heavily regulated. To keep up, your data management needs the necessary performance, scalability and flexibility — with the right technology, optimal integration and carefully designed data processes, you are ideally positioned for the future.

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Luxury & Fashion
Luxury & Fashion

Compelling product experiences on every channel.

When it comes to luxury and fashion items, product presentation is crucial. It must convince potential buyers of the value and quality of the products. This means: Product content must not only be accurate and complete, but must also be diverse, emotionally appealing and presented in line with the brand.

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Consumer Goods Industry
Consumer Goods Industry

Perfect data foundation for successful brands.

Consumer brands are faced with the challenge of remaining competitive in an increasingly global market under high cost pressure. Many companies therefore focus on strengthening their own brand — across a growing number of channels.

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Machinery & Plant Engineering
Machinery & Plant Engineering

Data excellence from supply chain to digital product communication.

From supply chain to digital product communication: Mechanical and plant engineering is characterized by profound complexity. Technical, organizational and data-related. Our experts help you establish a scalable data architecture and technology base that makes complexity manageable and enables growth.

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Healthcare
Healthcare

Uncompromisingly trustworthy and available data along the entire supply chain.

In healthcare, product transparency, data quality, and stable supply chains are critical for patient safety and regulatory compliance. We support life sciences companies with customized PXM and multi-domain MDM integrations to centrally manage data, efficiently meet regulatory requirements, and minimize risks in global supply chains.

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E-Book

PIM, DAM, PXM –
Who Needs What?

Decision-making aid in the confusion of terms

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Software Selection

Teamwork Software Procurement

Holistic change management does not begin with defining requirements for software selection.

Software solutions are designed to make everyday work in business areas easier – yet they are often not involved in the procurement process from the outset. In our projects, relevant stakeholders and business users are involved in all project steps, from requirements definition to the training phase, because project teams need the full buy-in of relevant stakeholders in order to be successful.

Courses & Training

Strengthen Self-Efficacy

Enable your employees to become true experts in using the software solutions you employ.

Uncertainty and a lack of system expertise are common reasons why system implementations ultimately fail. This is true even when the new solutions have been successfully implemented and integrated. Since the success of an implementation project is ultimately measured by the business value generated by the use of the new solution, we attach great importance to comprehensive training for employees – after all, they are the ones responsible for creating value on a daily basis.

Data Upskilling

Initiate Change

Successful digitalisation begins with the involvement of the people who live it every day.

Employee involvement must not end with the introduction of new systems. A genuine data culture emerges when people recognise the value of data for their own work – and are motivated to better understand data and use it to optimise their results. To unlock this potential, targeted training programmes are needed to teach employees practical data skills. And this must be done across the entire organisation: from specialist departments to team leaders to management. After all, the requirements for handling data change with each role – and companies would be well advised to build these skills internally in the long term, rather than relying solely on the highly competitive job market.

The Advellence Promise.

We exceed our customers' expectations in the long term by delivering exceptional added value in everything we do.

Digitalization starts with people

Technology itself is worthless without the people who use it. And yet many projects continue to fail due to insufficient user involvement – which is exactly why we always focus on your organization.

The Role of
Data Culture

Data is not exclusive assets for data & analytics teams, but the common good of a vibrant data culture that grows with digital change. That is why our customer projects are one thing above all else: highly personal and individual.

Human Intelligence as a Success Factor

Despite all our enthusiasm for the current AI revolution, we always focus on the people behind the applications – because no one knows your use cases better than your employees.