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How to improve efficiency in the organization using data

Bilde av Kurt S. Helland
by Kurt S. Helland

08. Jun 2021, 4 minutes reading time

How to improve efficiency in the organization using data

The potential benefits of data use are vast. One glaring benefit is data’s capacity to improve efficiency in the organization. Have you supercharged your own organizational processes by harnessing the power of data analysis? If not, here is how you might go about it.

Data, when properly transformed into insight, is first and foremost a powerful decision support tool. When thoroughly integrated into your organization’s decision-making process, you can leave faith, guesswork and «gut feelings» behind. This does not only lead to decisions that are more likely to be right, but processes that are faster and more efficient.


Fueling the processes

Let us dig a little deeper into why and how. First of all, there is simply less talk – less hassle – involved in making big decisions when they are ultimately grounded in a shared, agreed-upon truth. Hence, the whole process of reaching a final agreement is more streamlined. 

We have also seen that internal discussions after the fact – from the board of directors down to the production line – can be more quickly resolved when facts rather than assumptions are on the table. It is much easier to rewind the tape of decisions and find out exactly on what grounds they were made. This greases the entire machinery of organizations. 

Note that even for decisions that are not clear cut – where unpredictable macro variables and business cycles are at play, there is still value in (historical) data. The more you have of it, the more likely it is that your predictions about the future are correct. This reduces deliberation time for difficult decisions.


Not just any data

Using data and data analysis, you can increase efficiency both in internal processes, at the production line and throughout the supply chain. The key, however, is having access to relevant data. Simply sitting at a large volume – inevitably with limited readability – does not garner neither trustworthiness nor efficiency. It just creates more hassle.

The cardinal question, then, is what data do we need? If you want to harness the immense effectivizing power of data, you need the right data sets for the job – whether it is for market analysis, sales or implementation.


Getting started

So where do you go from here? Our best advice for getting started on your data journey towards improved efficiency is to get a clear picture of what data you already have. Where are they stored – centrally, or distributed across employees’ computers? 

Once you have mapped that out, it is time for a deeper, strategic analysis. Which of these data sets are relevant to us in a decision-making context – and how can we aggregate and make them available?

You can sum up the project of improving efficiency with data in 6 main points:

  1. Data capture and storage – what data are we collecting, and how are we doing it?
  2. Evaluating quality and relevance – is our data valid and reliable, and can it help support our strategic decisions?
  3. Improving insight – is the data properly transformed so as to be actionable?
  4. Evaluating competency – do we, as an organization, actually have the digital know-how to read the data?
  5. Making data available and accessible – do we have the necessary tools, like a dashboard, to visualize the data? 
  6. Turning it all into action – are we ready to bridge the gap between strategy and technology?

As an endnote, we strongly advise ambitious organizations to aggregate their data in a data warehouse that supports analytics tools. This superiorly effective storage and processing not only cut energy costs but lets you automate manual processes. As a large customer of BI Builders put it:

«Without such a tool we would not be able to implement our data strategy.».

How to make more strategic corporate decisions based on data

Kurt S. Helland

Kurt S. Helland

Kurt is Executive Chairman of the Board at BI Builders and has several years of experience as a senior manager in the ICT, visual communication, finance, and banking industries. He can assist any organization to become more data-driven through comprehensive automation and proven industry experience. Kurt has a passion for football, cycling, golf, and skiing.

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