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Fast and efficient project planning – with a Gantt chart

The reason why some projects ultimately fail, is often due to the lack of project management. This makes the project manager role and his planning more important. This, however, is easier said than done. In practice numerous external circumstances and requirements influence the project and can change several times during the project. The project goal then feels like a long way off. And project planning involves several challenges - at least if the project has to be completed on time and within the planned budget. Correctly coordinating tasks that are [...]

Fast and efficient project planning – with a Gantt chart2021-01-25T14:35:11+01:00

The Pillars of Data Science Readiness

Success stories about the benefits of machine learning and data science prompt companies from all industries to adopt some level of automated data analysis for themselves. In doing so they often encounter problems early on, or, even worse, late into the process. In this article I will give you an overview of the main pillars of Data Science readiness, as well as how you can achieve them. Data Availability No matter the method or goal, the basis for any machine learning endeavor is data. Any machine learning expert (or hobbyist [...]

The Pillars of Data Science Readiness2020-11-04T11:07:43+01:00

Data Quality Disasters

Data quality is an innocuous term. Upon first encounter, the association is usually big tables filled with numbers, some of which erroneous, math, and complex statistics. The consequences, however, can be very real. In my previous article “Data Cleaning: Pitfalls and solutions” I  shed some light on some of the shapes data quality issues can take. I also talked about a few approaches towards improving data quality and shared some insight on the business impact of inadequate data quality. Today, I would like to approach the topic from a more [...]

Data Quality Disasters2021-01-08T09:57:43+01:00

Data Warehouse in the Cloud VS On-Premises: A calculation example.

Data is the new oil, the new gold... Headlines like these are a dime a dozen these days. Yes, data is important. We are all aware of that by now. Data is produced. Every day, every minute, in masses. By private individuals and also by companies. Every company has the most diverse data generating systems: CRM, ERP, BDE and many more three-digit acronyms. Often there is no historical storage of data in these systems, which means that the data is lost when the records are overwritten. Another problem is the [...]

Data Warehouse in the Cloud VS On-Premises: A calculation example.2021-01-08T10:32:14+01:00

Data Cleaning: Pitfalls and Solutions

As the interest in machine learning and artificial intelligence grows, companies regularly find themselves confronted with the dissatisfying quality of their data. This discovery is either made early-on with a structured approach, or a lot later, when poor data quality is identified as the root-cause of poorly performing models. In either case, the next step should be a methodical exploration of the available data, followed by a series of steps to remedy the identified issues. In this article, I will give you an overview of common data quality issues and [...]

Data Cleaning: Pitfalls and Solutions2021-01-08T10:05:34+01:00

Early detection of supply chain bottlenecks due to Covid-19 with data analytics

Especially in the current crisis, it can be enormously important for companies to recognize supply chain bottlenecks early on in order to be able to act directly. The coronavirus crisis is putting the economy to the test. Increasingly, supply chain bottlenecks are occurring because suppliers may fail, and the prices for replacement deliveries are rising sharply. The question of how to maintain an overview and create transparency in procurement during uncertain supply situations is therefore of concern to many companies. In addition, the demands on data analytics are increasing, evaluations [...]

Early detection of supply chain bottlenecks due to Covid-19 with data analytics2021-01-08T10:19:09+01:00

What Opportunities Does Data Warehouse Automation Offer Companies?

Many companies are increasingly beginning to understand the great importance of data, its visualization and use for decision-making. However, the first steps towards making these data-driven decisions and preparing the data for successful use, still cause many companies problems. After all, work in the area of data warehousing is often very time-consuming. What is data warehousing used for? Basically, data warehousing offers the possibility to: preserve data, create a single source of truth, increase the productivity to the end users, reduce dependency on key users and react flexibly to changing [...]

What Opportunities Does Data Warehouse Automation Offer Companies?2021-01-08T10:49:06+01:00

How Machine Learning and Artificial Intelligence have (not) changed over time

Machine learning, Artificial Intelligence, Data Science, Data Mining, … The terms have certainly changed over the years but how many of them are really new and how many have actually been around for decades already? Will machine learning still be around in 20 years or will the boom simply be over? This article will be a realistic, fact-based check of where we were, where we are and where we are going. The most important thing to know about machine learning is that it is fundamentally nothing more than algorithmic embeddings [...]

How Machine Learning and Artificial Intelligence have (not) changed over time2021-01-08T10:40:31+01:00

What new impulses will determine data projects in companies in 2020?

The year 2020 began a few weeks ago. It is the perfect time for companies that want to develop digitally, to find out about trends around data and to make a successful start in the new year. Here you will find my estimation of which impulses will determine the data world this year according to new projects, events and experts. Strategic importance of data In my view, the most important development that has already emerged in various industries in previous years is the increasing strategic importance of data that more [...]

What new impulses will determine data projects in companies in 2020?2021-01-08T10:06:37+01:00

About data and visions – Where we want to go with your data

The BI market is growing continuously, there are now thousands upon thousands of business intelligence and data analytics providers worldwide. Despite this oversupply, many companies still have a need for solutions that help them digitize their processes and analyze their data. What and which applications the terms “business intelligence” and “data analytics” include is still a mystery to many companies. For a long time now, it has not been acceptable to speak of just nice-looking pie charts. Data analytics should not only be about simple data visualization, but also [...]

About data and visions – Where we want to go with your data2020-11-04T11:16:12+01:00
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