Conception of individual Analytics and Big Data Solutions

We determine the best approach to develop an individual solution from professional, role-specific requirements – suitable for the respective situation!

"A Fool with a Tool is still a Fool"

Providing a platform for business decisions is not a question of tools and technologies but a joint effort of different disciplines. It is of importance to keep the big picture in mind but also to be agile and achieve rapid success. With our different approaches, we address companies’ most common challenges in regard of making decisions for an analytical solution. We are guided by the professional requirements of the specialist departments.

Procedure in detail:

In the workshops we focus on the technical requirements and derive the fundamentally necessary skills of a solution. At the same time, we consider the technical requirements and restrictions of each customer. Our experience in different technologies and aspects helps us to identify the right standard software of one or more manufacturers, to weigh up advantages and disadvantages and to estimate the efforts for adaptation and development. As a result, we obtain a possible solution architecture – a combination of standard software of the leading vendors – as well as a rough estimate of the effort required for implementation including procedure. In order to ensure continuous support and the desired result, the architects of the solution are available to the customer as consultants or project managers for the long term.

Our Workshops

We determine the best approach to develop an individual solution from the professional, role-specific requirements – suitable for the respective situation. We discuss all details in standardized workshops tailored to the specific requirements.

Our goal for each workshop: More clarity for you!

Analytics Workshop 

Content:

  • Analysis of the current state
  • Technical requirements
  • Strategic objective
  • Analysis of strengths and weaknesses
  • Technical framework
  • Documentation of the obtained information
  • Development of a customized solution proposal
  • Selection of suitable solution components

Optional:

  • Planning and implementation of a business analytics and data project

Technology Workshop

Content:

  • Analysis of the current state of the technology and the challenges
  • Objective regarding technology
  • Technical framework
  • Documentation of the obtained information
  • Development of a customized solution proposal
  • Selection of suitable solution components

Optional:

  • Recommendation for implementation

Design Workshop

Content:

  • Analysis of the current state of the technical requirements
  • Analysis of the current state of the existing technology and the challenges
  • Technical framework
  • Documentation of the obtained information
  • Development of a customized solution proposal
  • Selection of suitable solution components

Optional:

  • Recommendation for implementation

Big Data Workshop

Content:

  • Analysis of the current state
  • Technical requirements
  • Strategic objective
  • Analysis of strengths and weaknesses
  • Technical framework
  • Documentation of the obtained information
  • Development of a customized solution proposal
  • Selection of suitable solution components

Optional:

  • Planning and implementation of a Business Analytics and Data Project

Proof-of-Value Workshop

Objectives: The workshop addresses companies who want to use Data Science to determine currently unknown information from their data based on rough objectives. However, the value of the information, quality and quantity is still vague, which is why the initial investment should be limited.

Content: 

  • Introduction / General procedure
  • Evaluation of the collected use cases
  • Analysis of existing data sources, quantities and quality
  • Selection:
    • Use Cases to be displayed
    • analytical platform to be used
    • further analysis tools
  • Definition of the expected results
  • Data Preparation
    • Load of the data
    • Test of data quality and documentation
  • Application of statistical methods to analyze the data (Data Science) in terms of the defined use cases
  • Conceptual design:
    • Implementation recommendation "Big Data"
    • Platform and operation recommendation
    • Documentation

Minimum Viable Product (MVP)

Objective: Development of a Minimum Viable Product (MVP). This is particularly interesting for companies who would like to use their data to gain concrete initial experience with Data Science in a project. The MVP can later turn productive with little additional effort. This is not the main focus during the development though.

Content: 

  • Analysis of existing data sources, quantities and quality
  • Selection:
    • Procedure, analytical platform to be used
    • further analysis tools
  • Definition of the expected results
  • Data Preparation:
    • Load of the data
    • Test of data quality and documentation
  • Application of statistical methods to analyze the data (Data Science) in terms of the defined use cases
  • Integration into the target system
  • Conceptual design:
    • Recommendation for further expansion Platform and operation documentation

We present you a solution based on your requirements, which enables you to achieve your goals and takes into account the current state of technology, approach, architecture and project duration. Naturally, we are able to tailor individual workshops to your special requests. Please feel free to contact us!

The right vendor for every project

You are looking for technical support in the areas of analytics: Data Integration, Big Data/Data Warehouse, Business Intelligence, Data Science or Corporate Performance Management? We work with Open Source technologies and commercial solutions of the following vendors:

Our Success Stories:

Sprechen Sie uns an!

Marc Bastien
TIMETOACT Software & Consulting GmbHKontakt
Martin Clement
TIMETOACT Software & Consulting GmbHKontakt