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9-10 september 2026

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Data & AI Monitor 2025

2025 markeert de start van een nieuwe fase in AI-adoptie.

Interview: "Waarom datagedreven werken vaak mislukt"

Louis de Roo | e-mergo

Interview: "In de beperking toont zich de meester"

Frans Feldberg | Vrije Universiteit Amsterdam

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9-10 september 2026 | Jaarbeurs Utrecht Exposant worden? Voor bezoekers

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2025

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2025

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2025

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2025

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2025

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Blog & Kennis

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3-delige video serie

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Data & AI Monitor 2025

2025 markeert de start van een nieuwe fase in AI-adoptie.

Interview: "Waarom datagedreven werken vaak mislukt"

Louis de Roo | e-mergo

Interview: "In de beperking toont zich de meester"

Frans Feldberg | Vrije Universiteit Amsterdam

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Big Data Expo Vorm F (1) Big Data Expo Vorm C (1)

How to rapidly transform complex and diverse data into business analytics value.

Donderdag 11:15 - 12:00
Roundtable 1
Scott Leslie

Chief Architect

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It is well documented that 80% of the effort in any analytics program is transforming and preparing data in order to deliver decision making analytics to business stakeholders. This is due to the lack of proper goal setting, understanding the complexity of data transformation and not having best practices in place. In this round table, we will cover the following topics: 1. Engaging with business people to work team in finding and transforming data 2. How to identify and aggregate the disparate data sources required for creating a complete picture of the business operation. 3. Moving away from lengthy specification documents and emails into online collaboration increasing speed and reducing unnecessary administrative work. 4. Empowering the business analyst to design and build the transformations without the need for programmers. If you are in operational analytics, you should attend.
Marco Hill

Managing Director

Linkedin Meer over deze spreker
It is well documented that 80% of the effort in any analytics program is transforming and preparing data in order to deliver decision making analytics to business stakeholders. This is due to the lack of proper goal setting, understanding the complexity of data transformation and not having best practices in place. In this round table, we will cover the following topics: 1. Engaging with business people to work team in finding and transforming data 2. How to identify and aggregate the disparate data sources required for creating a complete picture of the business operation. 3. Moving away from lengthy specification documents and emails into online collaboration increasing speed and reducing unnecessary administrative work. 4. Empowering the business analyst to design and build the transformations without the need for programmers. If you are in operational analytics, you should attend.
It is well documented that 80% of the effort in any analytics program is transforming and preparing data in order to deliver decision making analytics to business stakeholders. This is due to the lack of proper goal setting, understanding the complexity of data transformation and not having best practices in place. In this round table, we will cover the following topics: 1. Engaging with business people to work team in finding and transforming data 2. How to identify and aggregate the disparate data sources required for creating a complete picture of the business operation. 3. Moving away from lengthy specification documents and emails into online collaboration increasing speed and reducing unnecessary administrative work. 4. Empowering the business analyst to design and build the transformations without the need for programmers. If you are in operational analytics, you should attend.

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