Bolt Technology Consulting GmbH

19/12/2021

Instead of the usual small gifts for christmas, we decided to plant a personally dedicated tree for each of our customers, partners and friends.
https://bit.ly/3GMBBGW

The resulting BiG EVAL forest, consisting of a large number of different tree species, is planted on Haiti by our partner Evertreen. It offsets 45 tons of CO2 every year and creates jobs for the local people.

We think, that this christmas gift is much more valuable for our planet than producing and shipping gifts, that often went unused.

We wish you all happy holidays and merry !
Take care of yourselves!

BiG EVAL planted a forest on Haiti and dedicated each tree to either a customer, a partner or a friend.

21/06/2021

Using erroneous source data in a system is a no-go. It leads to wrong decisions, inefficient processes and unplanned firedrills. Removing these errors once they were loaded into your is a pain.

Do you already gate your source data by automated quality checks?

Read how source data gating could look like and how continuous validation with alerts and other processes will leverage your .

https://bit.ly/2SJ2YP0

11/06/2021

Most data teams have a perennial challenge of keeping up with the business demand for analytics. Outdated testing practices that easily allow cracks to appear, may be a reason for that gap between business needs and technical delivery.

Automated processes - especially automated data testing - may help you get rid of painful firedrill tactics.

https://bit.ly/2SjOxkg

09/06/2021

Should we take the time to develop our own or solution? Or may we rely on a standard product that is available immediately?

What are the pros and cons of each way?

Our article highlights, what you should take in consideration when making this decision:
https://bit.ly/3isPn8X

More Highlights are:
- Time to Productivity vs. Immediate Business Value
- Test Maturity vs. Costs
- Total Cost of Ownership comparison

10/05/2021

A typical challenge in implementing , is scaling and automating . Automatically testing changes on code or data, whenever they need to be promoted, is an essential process to ensure the quality in your DataOps framework.

But there are more things that need to be considered.
We collected the most important challenges our customers face when implementing DataOps and show you efficient solutions.

https://bit.ly/3f06KKE

29/03/2021

Automating DataOps 🤖 Data Testing and Data Quality Processes

Automating various disciplines is key for successfull implementation. An important challenge is to ensure and of system components ( ). Our article shows an efficient way to implement these processes as well as different other aspects.
https://bit.ly/2O719Jk

04/02/2021

Problems with your data quality lead to unpleasant consequences, high costs and huge risks. See some consolidated measures in our blog post.
https://bit.ly/2O61lbn

Don't ignore signs of poor data quality. Studies show that incorrect data often leads to unpleasant consequences on costs, risks and revenue.

18/09/2020

Why is important and how can you integrate a data quality management tool?
🔎See, how easy it is to be efficient!

And getting a competitive edge utilizing a high data quality.
https://bit.ly/3mwSbRV

The importance of maintaining good data quality is high because it gives companies a competitive edge

08/09/2020

Data-driven decisions are heavily influenced by the quality of digital information. That`s why we dive into this topic in our article.
https://bit.ly/3id54y6

Data-driven decision-making is a key factor for every modern company when it comes to leveraging productivity and profits.

24/08/2020

Is it really possible to apply Data Governance to agile projects? Are they really best friends?
https://bit.ly/2QjrT6L

12/08/2020

📢Did you know that poor data quality harms the efficiency of the entire company and drives huge coasts?
It should therefore be in the company's interest to improve it sustainably!
As soon as possible!
https://bit.ly/2XL0G0N

10/08/2020

Testing is one of the most crucial steps in any data oriented development project. But what suites best? Manual or automated testing?
https://bit.ly/3kuah5U