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LEITWERK Consulting - Data Analytics

Data Analytics Consulting

In a data-driven world, business data analytics is a key to success. Companies use this method to optimise operational processes, improve customer experience and identify growth opportunities. By utilising big data analytics correctly, companies can not only understand current key performance indicators, but also forecast future trends.

Are you ready to turn your data into real added value? At LEITWERK Consulting, we offer world-class data analytics consulting services to take your business to the next level. Our experts combine in-depth industry knowledge with leading technological know-how to help you make data-driven decisions and optimise your business processes.

Request a free consultation now

What do we mean by data analytics?

  • Icon: Data analytics definition and explanation

    Data analytics definition and explanation

    Data analytics refers to the systematic examination of data to gain valuable insights, patterns and information. This enables companies to make informed decisions by transforming data into actionable insights. Various techniques, tools and platforms are used to analyse and interpret data in different dimensions.

  • Icon Difference between data analytics vs. data science

    Difference between data analytics vs. data science

    Although closely related, data analytics and data science differ in their focus. While data analytics mainly focuses on analysing existing data to find answers to specific questions, data science goes one step further. Data science encompasses the entire data pipeline, including data collection, cleansing, modelling and interpretation to gain deeper insights and solve complex problems.

  • Icon: Data analytics software, platforms and tools

    Data analytics software, platforms and tools

    Choosing the right tools and platforms is crucial for effective data analytics. From data analytics software that enables data visualisation and exploration to comprehensive data analytics platforms that offer advanced analytics capabilities, there is a wide range of solutions available. These tools help organisations turn data into actionable insights.

  • Icon Data Analysis vs. Data Analytics

    Data Analysis vs. Data Analytics

    ‘Data analysis’ and “data analytics” are often used interchangeably, but they emphasise different aspects. Data analysis refers to the process of examining data to identify patterns, relationships and information. Data analytics, on the other hand, focuses on the application of these insights to influence business decisions and achieve strategic goals.

Our performance promise

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    Data strategy and planning

    We develop customised data strategies that reflect your business objectives. Together we define clear goals for data utilisation and identify the most suitable data sources.

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    Data analysis and modelling

    We use advanced analytical techniques to gain valuable insights from your data. We develop models that enable you to recognise trends, make predictions and make informed decisions.

  • //

    Implementation of data solutions

    From selecting the right technologies to integrating data solutions into your existing infrastructure, we support you in seamlessly establishing data-driven processes in your company.

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    Reporting and visualisation

    We bring clarity to complex data by creating meaningful visualisations and reports. This allows you to quickly gain insights and make effective decisions.

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    Training and capacity building

    With our training courses and workshops, we help your teams to use data analytics tools effectively. This enables your employees to carry out data analyses independently and generate added value.

Our approach

1. Phase 06

Requirements analysis and target objectives

  • Requirements analysis and target objectives

    We start by understanding your specific business requirements and setting clear goals for the data analytics initiatives. By understanding your goals and expectations, we can develop a customised strategy aimed at extracting maximum value from your data.

  • Data acquisition and preparation

    Data is the raw material for effective data analytics. We identify relevant data sources, collect the necessary data and prepare it carefully to ensure it is ready for analysis and modelling.

  • Data analysis and modeling

    We use advanced techniques to identify patterns, trends and correlations in your data. We develop customised models that enable you to make precise predictions and gain valuable insights.

  • Reporting and visualisation

    Complex data is best understood when it is presented in a visually appealing way. We create meaningful visualisations and reports that allow you to easily interpret the results and make informed decisions.

  • Implementation and training

    We support you in implementing the insights gained in your business processes. At the same time, we offer training courses and workshops to ensure that your team masters the tools and techniques for using the data solutions effectively.

  • Continuous optimisation

    Data analytics is a constantly evolving process. We work closely with you to ensure that your data analytics strategy is continuously optimised and that you can always use the latest insights.

Project examples

I. Development of Group-wide process governance structures

Scope of commission

An automotive manufacturer commissioned us to set up efficient, group-wide process governance structures based on the data of the BPM tool used, with the aim of identifying areas where action is required and providing the responsible persons throughout the group with a suitable database for exercising process governance.

Initial situation

Process governance is insufficiently implemented as the existing reports do not contain the required information and are time-consuming to create. In addition, the data quality cannot be fully assessed and potential for increasing data quality and utilising synergy effects cannot be identified. The client would therefore like to provide all stakeholders with suitable governance structures. The focus here is on keeping the database up to date and minimising manual effort. A direct connection of the database to a suitable BI tool was already in place.

Solution approach

In order to avoid manual effort (especially manually extracted reports), the connection of a suitable BI tool to the database of the BPM tool used is utilised. Firstly, the requirements relevant to process governance are identified, taking into account the needs of the stakeholders. The data from the database is then analysed and cleansed and prepared in the selected BI tool. This allows both suitable reporting to be developed and suitable visualisations to be created with a focus on comprehensibility and usability. User training on the reports and visualisations ensures sustainable maintenance and use.

Results

In addition to identifying extensive clean-up potential, efficiency gains were also realised in the area of process governance. As all analyses are now based on the same database, process governance can now be controlled centrally and the data is kept up to date with minimal manual effort. The solution also offers flexible analysis options for individual ad hoc enquiries.

II. Customer behaviour analysis for e-commerce companies

Scope of commission

Our task is to support an e-commerce company in analysing customer behaviour in detail. The aim of this analysis is to generate personalised recommendations for customers and thus significantly strengthen customer loyalty. These personalised recommendations are intended to increase conversion rates and significantly improve overall customer satisfaction.

Initial situation

The e-commerce company was characterised by decisions that were made on insufficient information and without an objective basis. This led to mistakes being made repeatedly due to a lack of in-depth knowledge about the customers. Conversion rates were at an alarmingly low level. At the same time, customer satisfaction was declining, indicating that customer needs and preferences were not being adequately considered. In this situation, the company was faced with an urgent need to fundamentally rethink its business strategy and rely on data-driven insights to improve performance and restore customer satisfaction.

Solution approach

We structured the existing website data and created an automated reporting system on this basis using a BI tool. This made it possible to analyse purchasing behaviour in detail, identify customer product preferences and track customer interactions on the website. In addition, a suitable strategy was used to respond to customers by introducing a machine-learning-based recommendation system that provides individual product recommendations based on past purchases and behavioural patterns.

Results

The new insights and more targeted customer approach increased conversion rates and customer loyalty. This resulted in a higher shopping basket value and a sustainable increase in sales based on higher customer satisfaction and increased repeat purchases.

Your advantages
...if you decide in favour of LEITWERK Consulting

  • Icon Experience and expertise

    Experience and expertise

    Our team consists of highly qualified experts with many years of experience in consulting and data analytics.

  • Icon Industry focus

    Industry focus

    We deploy our experts in a targeted manner based on your specific industry requirements. This allows us to incorporate empirical values into our solutions in addition to purely data-based conclusions.

  • Icon Customer-centred approach

    Customer-centred approach

    Every company is unique. That's why we develop customised solutions that fit your individual needs.

  • Icon Sustainable results

    Sustainable results

    Our goal is to create long-term added value for your company. We support you in making data-driven decisions that drive your growth.

We are the team for data analytics consulting

We are happy to support you in setting up automated and BI-supported reporting. Our experts in the field of data analysis will help you to structure and meaningfully aggregate your collected data. Use this valuable data to derive well-founded conclusions for your business processes and increase the efficiency of your company!

Find out how our experts can help you to analyse, optimise and automate your processes. Request a free consultation today and start on the path to an effective and successful company!

the Team for Data Analytics Consulting
Ready to turn your data into valuable insights? Contact us today to learn more about our data analytics consulting services.
Contact us!
Sebastian Linder - Your contact person
Your contact person
Sebastian Linder
+49 89 189 235 96
sebastian.linder@leitwerk-consulting.com
... or write us via our contact form
Contact us!

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