Managing Stakeholders in Data Science

Managing Stakeholders in Data Science

Innovation can be hard to implement if there is no common understanding about it between the organisation’s stakeholders (colleagues, partners and leadership). For a project manager, stakeholder management is not only important but it can also often make or break the project.

Words by Richard Bumann
Data Science Consultant at ERNI

Manage expectations, prove and challenge results, commu­nicate outcomes. In each stage of your data science project, these are some of the unspoken expectations your team and leaders will have of you.
Navigating these challenges is not easy, so let’s take a closer look at what pitfalls to avoid, what tough decisions to make and whose engagement is the most important during each stage of a data science project.
The individual stages of your data science project as described below don’t necessarily happen in a strictly sequential order. You can move back and forth between them or repeat the cycle a number of times to tackle new challenges. Always make sure you take a conscious and well-founded decision when proceeding to the next stage, as with this change, you’ll have a change of the stakehold­ers themselves and their management.

Business understanding: Make sure all stakeholders understand the business goals of your project

During the initial stage, people should not only understand the benefits of the project but it’s also just as important to make them understand what the project cannot deliver. Be careful when defining and limiting the scope of the project.
Stakeholders in this phase:
Business end users, business analysts and data scientists.
Obstacles:
If the vision or idea of what should be achieved is too broad, it has to be narrowed down. Keep in mind that business end users and framing conditions are multifac­eted and include more than just people, e.g., legal bodies or security regulations.
Difficult but correct decisions:
Abort the project if the business idea is not feasible or the benefits are not viable.
Engagement of stakeholders:
Illustrate the possibilities with well-designed examples and set realistic expectations.

Data understanding: Let’s discuss available data

In this phase, you’ll be mapping the data landscape and discussing data storage and possibilities to integrate and merge data. It is also important to assess the quality and completeness of the data.
Stakeholders of this phase: 
Business analysts, data scientists or analysts, data engineer, IT.
Obstacles: 
(a) Miscommunication between business analysts and data analysts; (b) miscommunication between data scientists and the data engineer, leading to poor identification of necessary and available data sources; (c) bad relationship between IT and the data team because of different goals; (d) missing out on opportunities to uncover poor data quality and data gaps.
Engagement of stakeholders:
Picture the benefits of the data project. When working with IT, engage them in the process so they don’t feel left out and you won’t end up with requests such as “extract data for us immediately”.

Data preparation: Getting the data in shape

In this phase, make sure you have the right data in the best quality possible.
Stakeholders in this phase:
Data scientists, data analysts and data team, business stakeholders.
Obstacles:
Incomplete or ‘dirty’ data, missing resources from the IT department, or missing engineering that could help access data and improve its quality.
What can go wrong:
(a) If the scientists don’t talk to the business and other professional stakeholders, they might miss some important facts needed to prepare and clean the data for a proper analysis; (b) if cleaning is needed, there might not be enough resources to clean data for the project (which should be done by professionals). Data teams need to include cleaning in their planning, and occasionally involve data engineers to clean data at the source.
Engagement with stakeholders:
Clearly communicate how important it is to have a clean database for a correct analysis. Assign resources from IT.

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  • Vendors that help with digital transformation24.02.2018.
    Newsroom

    Vendors that help with digital transformation

    Vendors can no longer only rely on the monitoring and management of IT infrastructures to keep pace with market needs.
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ERNI Schweiz

Casinoplatz 2

3011 Bern

Phone: +41 58 268 12 00

Email: [email protected]

better ask ERNI

ERNI Suisse

Bâtiment L

Route des Acacias 43

1227 Geneva

Phone: +41 58 268 11 03

Email: [email protected]

better ask ERNI

ERNI Suisse

Voie du Chariot 3

1003 Lausanne

Phone: +41 58 268 11 03

Email: [email protected]

better ask ERNI

ERNI Schweiz

Brünigstrasse 18

6005 Lucerne

Phone: +41 58 268 12 00

Email: [email protected]

better ask ERNI

ERNI Schweiz

Löwenstrasse 11

8001 Zürich

Phone: +41 58 268 12 00

Email: [email protected]

better ask ERNI

ERNI Deutschland

Trakehner Str. 7-9

60487 Frankfurt am Main

Phone: +49 697 953 28 01

Email: [email protected]

better ask ERNI

ERNI Deutschland

Design Offices München – Arnulfpark

Luise-Ullrich-Str. 20

80636 München

Phone: +49 162 334 77 30

Email: [email protected]

better ask ERNI

ERNI Slovakia

Ševčenkova 34

851 01 Bratislava

Phone: +421 2 32 55 37 37

Email: [email protected]

better ask ERNI

ERNI España

Edificio El Triangle

Plaça Catalunya 1-4, 3º planta, Módulo A y B

08002 Barcelona

Phone: +34 93 667 77 76

Email: [email protected]

better ask ERNI

ERNI España

Carrer Pallars, 208, Bajos

08005 Barcelona

Phone: +34 93 667 77 76

Email: [email protected]

better ask ERNI

ERNI España

Calle de Alfonso XII 62

Oficina 3101

28014 Madrid

Phone: +34 901 848 787

Email: [email protected]

better ask ERNI

ERNI España

Sant Cugat ERNI Office

Plaça Xavier Cugat, 2 EDIF B Planta Baja

08174 Sant Cugat del Vallès

Phone: +34 93 667 77 76

Email: [email protected]

better ask ERNI

ERNI Romania

Calea Dorobantilor no. 98-100

3rd floor, in Olimpia Business Center

400609 Cluj-Napoca

Phone: +40 744 319 228

Email: [email protected]

better ask ERNI

ERNI Singapore

7 Straits View

Marina One East Tower #05-01

Singapore 018936

Phone: +65 9161 9863

Email: [email protected]

better ask ERNI

ERNI Philippines

9th Floor, 500 Shaw Zentrum Building

500 Shaw Boulevard

Mandaluyong City, Philippines 1555

Phone: +63 2 531 59 82

Email: [email protected]

better ask ERNI