Category: Data

Warehouses, lakes, lake houses and self-service

In the previous blog, we discussed the five stages an organization will go through when embarking on a data journey, in search of the value of its data. In this subsequent blog, we provide you with a brief overview of the typical components that comprise a data analytics platform needed for that. We will refrain […]

Five stages in leveraging the organization’s data

Nowadays most organizations do acknowledge the importance of using their data to optimize the way they run their business. With visions of optimized operations, streamlined strategies, and sharper decisions-making, budgets are allocated for the initiation of data analytics projects. On day 1, typically the following questions are raised: What data do you have? What insights […]

Can you take over? (part 3)

The text below has been anonymised. The exact names of people and companies are irrelevant. The blog is written to share lessons learned. In part 1 of this blog series, we explained what happened after Jan’s “cry for help”, and Jan’s company. For those who missed that, see https://m2-d2.com/en/can-you-take-over-part-1/. In part 2 we picked up […]

Can you take over? (part 2)

The text below has been anonymised. The exact names of people and companies are irrelevant. The blog is written to share lessons learned. In part 1 of this blog series, we explained what happened after Jan’s “cry for help”, and Jan’s company. For those who missed that, see https://m2-d2.com/en/can-you-take-over-part-1/. In this second part we pick […]

Can you take over? (part 1)

The text below has been anonymised. The exact names of people and companies are irrelevant. The blog is written to share lessons learned. The phone rings. It is the end of September 2022. I answer and I hear the voice of an old acquaintance. Let’s call him John. After the usual “hey, how are you?” […]

Don’t Let Data Quality Hold You Back

“Excellent firms don’t believe in excellence – only in constant improvement and constant change.” – Tom Peters The quality of data plays a role in every project. Rarely is the quality of data good in one go. However, it is not a smart move to clean up all the data before you start the implementation. […]

The Importance of Rhythm in a Data-Driven Organisation

“A human being is just that: energy, waves, patterns, rhythms. A dance” – Gabrielle Roth It is important to create a fixed rhythm for the reporting. Where you initially received insight into one Excel report on a monthly or quarterly basis, you now have daily or weekly access to the most recent figures. By looking […]

Empowering data analysist with API-enabled data analytics services

Shift Toward Predictive And Prescriptive Analytics Continues Organisations invest in data analytics becuase it promises to bring competitive advantages, but many of the tools and skill sets needed to scale have been missing or in short supply. Data analysts continue to be a sought-after and expensive resource, and their valuable efforts tend to be relegated […]