DATA ARCHITECTURE | Deliver sustainable value through design of a data landscape

SOLUTION

Why

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Modern data architecture landscape needs to meet a number of key objectives:

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  •Self-service  

  •Collaborative

  •Scalable

  •Flexible

  •Managed & secured 

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•Privacy by design

•Seamless

•Futureproof

•Robust & efficient

•Automated

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How

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In order to modernize your data landscape we take the following three steps:

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1.  Define

Using one or more uses cases, we will define the characteristics and specifications of the available data. As a result, we can define which architecture components need to be installed and set the requirements for the initial data platform

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2. Design

We will help you build capabilities around the data platform, w.r.t:

•People

•Process

•Data

•Technology

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3. Deliver

Setting up a fully functioning data platform and support capabilities takes a lot of time and effort. We will help you start small, set up the initial technology components and the supporting capability improvements for a fully functioning minimum viable product (MVP). Using the ‘grow as you go’ concept, your data platform and its capabilities will grow when they are used by your business

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OUTPUT & BENEFITS

What

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• Data architecture, driven by business value for short and long term

• Insight into next gen principles, roles, tools and developments in the data architecture landscape 

• Future proof and realistic to-be state and concrete roadmap

TRACK RECORD 

Human Capital

Entertainment

Technology Platform Architecture

From a hotchpotch of data warehouse and big data platforms, we coached a staffing agency towards a full stack data lake in the cloud

Data Lake Architecture

With upcoming influx of real-time data from floor and on-line, we designed and demoed a big data, streaming platform