Business acceleration through big data technology

Let's build data solutions toghether..

Introduction

Exploring Data is a Data Consulting company founded by Richie Brondenstein. His expertise bridges the gap between the worlds of big data, business, and IT. He guides his clients by applying state-of-the-art data technology, Design Thinking, and Service Design principles. His goal is to deliver value, increase knowledge and provide a enjoyable customer experience for all stakeholders on their journey to design and create successful, innovative data solutions.

This website is intended to share my passion, ideas, and way-of-working. Hopefully you get inspired!

Richie Brondenstein

Owner & Data Strategy Consultant

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Exploring Data Services

Data science, advanced analytics, and data engineering deliver value through data platforms and data solutions by:

  • storing streams of data describing the execution and interactions of various processes
  • providing insights into complex business processes
  • enabling automated decision-making in complex systems

To support organizations during their exploration of the use of data, I work with various stakeholders and take the required technical and/or non-technical roles. In the process, I facilitate the following services:

data strategy

Data Strategy

Goal:
Prepare an implementation plan that takes into account:

  • Business objectives
  • (Technical) design of the data solution
  • Clear roadmap
  • Team composition
product development

Product Development

Goal:
Develop a data solution according to lean startup and agile principles:

  • Build a working prototype
  • Test prototype with stakeholders
  • Transform prototype into solution for production
product & project management

Product & Project Management

Goal:

  • Manage the development process
  • Work out the company integration with the solutions
  • Guide the organization to achieve the intended results

Exploring Data Approach

Developing the right solution requires an agile approach that allows the organization to learn, apply and iterate on existing and new insights and solutions.

Exploring Data’s approach is based upon the principles of Design Thinking, Service Design, and Lean Startup. It can be summarized in three phases that we go through iteratively:

discover

Discover

Using a human-centered problem-solving approach, personas are created to represent stakeholders. The goal is to understand and empathize with the business challenges they face. Based on these insights, we develop an understanding of the context and explore the data relevant to it.

innovate

Innovate

Since our goal is to solve the business challenge, we need to develop a solution that first and foremost fits the challenge of our stakeholders. For a big data solution, one must e.g. consider data availability, implementation complexity, criticality in case of failure, and user interaction. These are relevant topics when designing analytical dashboards and insights, choosing a big data platform, or applying data science models.

engage

Engage

Once we have clarity on our current maturity level, we need to work towards the intended result in intermediate steps. By following a roadmap with clear KPIs, we enable the organization to learn and adjust quickly, considering all stakeholders. This phase takes into account knowledge sharing so that stakeholders understand the development, to increase data intelligence within the organization.

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