Definition of data-driven working & steering
Data-driven working, also called data-driven steering, encompasses many facets both organizationally and technically. We give the following definition to data-driven working:
Data-driven working is the consistent, daily, weekly analysis and steering based on (raw) facts and data. You let data guide you in your daily work.
The goal is to gain more insight and knowledge daily and/or weekly and make more informed decisions based on reliable data. The goal is to structurally improve things in your organization or to innovate. Across the full breadth of the company.
We always think in concrete solutions for data-driven steering
Working in a data-driven way is very different from building a dashboard (with or without real KPIs) or creating a data warehouse. Technology is of course important but so are people! In order to achieve data-driven management, we are happy to help you practically solve concrete questions such as:
- How do you create the right awareness among managers and employees to start working data-driven and how do you steer that change process in the right direction?
- On which facets does a data-driven organization excel and how do you complete the business case for data-driven management?
- Which decisions in your organization qualify for data-driven management and how do you go about achieving this?
- What types of data – open data, fast data, big data – all form input for data-driven working? What is the best architecture for all those forms of data?
- What risks and pitfalls should you be alert to in data-driven management and what precautions should you take?
- Which BI tools and methodologies are available to implement data-driven management?
Do one or more of these issues also play a role in your organization? Do you want a data-driven organization that acts on facts, steers data-driven and never loses its way? Then let the Passionned Group’s data-driven improvement specialists advise you.
Data-driven work is a continuous process
A data-driven organization makes decisions on the fly. Because there is so much usable data, more than you will suspect. And the dynamics in our society and worldwide are increasing, so you have to make a decision more often. Here you have to remember that one political decision or a competitor’s decision can nullify all the (big) decisions of the past year. So above all, collect a lot of external data.
Figure 1: What is data-driven work? The figure above shows the overall process.
The goal is to achieve a data-driven organization where everyone makes rational decisions based on data much more often than before. And no longer steers solely on the basis of gut feeling, assumptions or opinion. From now on, you operate as a team in which all noses are eventually pointed in the same direction.
What is data-driven work?
Data-driven working is exactly the meaning you can attribute to this concept: you start working with data to be able to perform your work well and to make well-founded decisions.
To increase the adoption of data-driven working in your organization, you not only need to raise awareness, but certainly also train your people to a certain level of data literacy.
In addition, you need Business Intelligence tools that allow you to create reports, interactive dashboards and KPIs, but always look closely at data quality (measure & improve). Because contaminated data can unfortunately put a spoke in the wheel of your data-driven ambitions.
The concept container
Data-driven architecture does not stand alone. There are many concepts that combine to drive the development of a simple but solid data-driven architecture.
Figure 2: The concept container as data-driven architecture
To understand the essence of the word “data-driven,” you need to know them all. The most important concept is in the middle: data analysis. This is crucial to improving things.
The sister of data-driven: information-driven working
Information-driven working often assumes a KPI. But these are sometimes very outdated or often not sharp enough. In information-driven working, you start exploring and analyzing principles and spearheads that have been hammered in beforehand. With data-driven working/steering, on the contrary, you start from the raw, unprocessed data and maximum freedom.
- Information-driven working leads to (even) more control of what is already there.
- Data-driven work, on the other hand, leads to much more creativity and innovative solutions.
Both methods have their advantages and disadvantages.
Benefit from our effective approach DataDoen™
Our unique approach DataDoen™ allows data-driven work to penetrate the capillaries of your organization. Everyone has to believe in it and everyone is going to believe in it. This powerful, data-driven approach ensures that at every moderation session the right data is on the table for the stakeholders involved at that moment.
The issues at hand are visualized as a clear process that is clear, recognizable and often confrontational for everyone. Time after time, this sets in motion a movement that wakes up employees and managers. Only then do they start having the right conversations with each other. In order to continuously improve processes, further develop the organization and serve the customer much better.
Data-driven working at a municipality & government
At the municipality of Rotterdam, in the Netherlands, we were able to take data-driven working within government to greater heights. “We spent the first six months pulling as much flat data as possible from the organization’s social domain, and mapped pathways for three work domains: work, education, and care. That’s how we created insight at the municipal level. That was a real revelation for many people.” Realizing data-driven government is our mission and passion.
Embrace data-driven work or…
Decisions you make data-driven are higher quality, more rational decisions. They produce higher profitability, better financial position and higher customer satisfaction (Harvard, 2015). Andrew McAfee of MIT even states:
Employees who do not embrace the principle of data-driven work will soon be replaced by those who do.
This is especially true for executives. Perhaps in your organization and situation it won’t be such a big deal, yet this is food for thought.
The data-driven organization and its benefits
The data-driven organization looks not only backward but certainly forward. From accountability to steering to forecasting. On all 4 layers, you have work to do:
- How do you create a data-driven culture?
- How do you shape a data-driven strategy?
- How do you make data-driven decisions?
- How do you make employees data literate?
Figure 3: The four layers of a data-driven organization.
Culture is the hardest thing to reverse. However you look at it, it starts at the top of the organization. They must consistently manage based on reliable numbers. So participate!
In addition, data-driven work must become a spearhead for the organization. Give it a place in the business strategy. You don’t just make decisions data-driven, you have to set up a process for that. Finally, train managers and employees until they are sufficiently data literate.
Data-driven work at the NHN Safety Region
Together with the control room, ambulance services and a team of cardiologists from various hospitals, the Noord-Holland-Noord Safety Region (in the Netherlands) developed a process dashboard based on data-driven working. They wanted to know how their cardiac patients with an acute heart problem were being guided through the entire care chain and what improvements they could make in that process.
They first brought together raw data from various systems and plotted it on the acute cardiac care process. Then they went about analyzing that data meticulously and having a conversation with those directly involved about the data. Not just once, but daily and weekly.
In eighteen months, the turnaround time of the entire acute care process for cardiac patients, in which every second counts, was reduced by 20 minutes. Controlled and secured. A story that appeals to everyone: data that saves lives. There is no greater social relevance.
What tools can the data-driven organization have at its disposal?
To shape data-driven working not only your people are crucial. The right Business Intelligence tools also matter. These come in different shapes and sizes. There are more than 25 available in the Netherlands alone. The solutions that best fit our approach to data-driven management and method are: Qlik, Tableau, Power BI and Visual Analytics from SAS.
What are the benefits of a data-driven organization?
A data-driven organization has many advantages. Make them your own and develop a vision for your own organization because without that vision you cannot convince others.
- much better decisions are made in groups and based on data
- a high degree of transparency that never gets boring, the work becomes less boring
- your employees start believing in their work and the mission of the organization again
- a data-driven organization is a learning organization, making mistakes is allowed
- your customers experience much better service in a data-driven organization
- higher profitability and better financial position, better compliance
Just try to cash in on the above benefits. You need time to do that. But also expertise. We are happy to help you with that because our many years of experience and high-quality knowledge will certainly pay off.
Is my corporate culture ready for data-driven steering?
Yes, precisely because data-driven steering involves working with raw data, the culture of your company does not initially matter much. Our years of experience in implementing data-driven organizations and data-driven processes make it clear time and again that you can apply our approach in any company culture and in any sector. Provided, of course, that the data is available and you start acting on it.
Use information consistently for action and analysis
Educational institutions must also be data-driven. Because everyone gets involved and plays a role in reading, analyzing, polishing and discussing the data, data-driven work can grow into an organization-wide success. Of course, we set up a customized process for each organization based on standards, making the investment relatively low.
5 steps to data-driven decisions
Organizations that consistently make data-driven decisions have four percent higher productivity and they make six percent more profit. That seems little, but if you make 1 million euros in profit, you’re already talking about EUR 60,000. And for that amount of money you can build a nice BI system. Source: MIT Center for Digital Business.
Other studies show that success with BI leads to 33% more satisfied customers. And with IoT applications, we can achieve $63 billion in global healthcare savings in 15 years. So you’ll find many benefits of data-driven work in all sorts of areas.
So make data part of your company’s DNA now in five steps.
1. Make your goals measurable & SMART
If you’re data-driven, then start setting your goals SMART. For example, 10 percent increase in your customer satisfaction. This way you force yourself to analyze both your success and also your failures. Only with data will you prove what went wrong or right and improve your performance as a continuous process.
Try to make what you do as measurable as possible. Not only at the management level but precisely for everyone. Even personal goals and smaller projects. This will give everyone insight into what they are doing and the feeling that they are contributing to your organization. Reward employees and departments when they meet their goals.
2. Collect a variety of data
You often already own a load of data without knowing it. Organize those according to a model. Then start actively and consciously collecting data:
- Internal sources such as Google Analytics, SalesForce or other customer information, for example.
- External sources such as social media and information about your competitors.
- Besides a lot of information, it is equally important to have varied information from different departments. For example, quality of service, customer feedback, reviews, speed of delivery and the effectiveness of marketing campaigns.
Make sure all your departments within the company are asking the right questions to get the correct data.
3. Take the customer as the starting point
Many companies think from the product rather than their customer. If you want to be a true data-driven organization, you change your way of thinking. You put your customer first. Engage in the conversation. Make it a dialogue instead of a one-way street.
Balance your data with innovation and creativity to create a more relevant experience, product and/or service for your customers. But to do this, data must be widely available within your company. You can achieve this with business analytics and BI software.
4. Make data accessible to everyone
The biggest danger is that data stays only with your IT or marketing department. This is a waste. You want everyone to have access to the data they need to do their jobs well. From accountants to your planners.
After all, with that information, departments align their priorities with those of your customer. They see what’s important and further align their service and operations accordingly. In many companies, this means a real culture change.
Therefore, appoint someone from your management team with authority. A champion of open data and data-driven decisions in your company.
And let’s face it: some people understand data better than others. Fortunately, this is why you train your employees in reading and analyzing data. This way, every employee becomes data literate. With this, you empower them to make data-driven and therefore informed decisions on their own or as a team.
5. Engage the right people and put the experts to work
To make the most of the data you have, you need experts. Those are data scientists and data analysts. They build complex algorithms and analyses and find the right information in a sea of zeros and ones.
They must not only understand data, but also show genuine interest in your business, market and strategy. Someone who proactively thinks along about what other data sources you need, what the customer needs are and how to use your data for this purpose. Moreover, you want them to make the data easily and quickly accessible to everyone. The foundation of your data-driven organization.
Big steps, fast home? Indeed, these are the outlines. Do you really want to know the ins and outs? Then download our good-new white paper “The 101 Steps to BI Success” here.
To make a turnaround a success, we recommend focusing on a few easy quick wins at the start. Try to identify 3 to 5 of them. That way, you immediately create enthusiasm and energy for further change.
- Important principles
- Collect enough and the right data
- Let it flow throughout your organization
- Data is available everywhere and to everyone
- Data is fast and easy to read
Do you also want more profits, higher productivity and a happy customer? Then make the step to a data-driven organization now. We are only too happy to help you with this. Because it is our passion!
More grip with data-driven processes
Because data-driven steering gives you more and much finer insight, and with great frequency, you can see where things are faltering in your business processes. The data and dashboards reveal where you should focus your analysis and where you can make adjustments. That’s how you get a better grip on your organization, improve performance and make your processes data-driven. But data science techniques and artificial intelligence (meaning) can also make an important contribution. After all, with reports and dashboards you are often running behind the facts.
The Data Science book for Decision Makers & Data Professionals Any organization can become intelligent, but not without working data-driven in all layers of the company. The Data Science Book is sensitive, smart, agile and successful and, with the right data, triggers a new improvement movement every time. In order to have data-driven processes, increase agility and offer customers a higher quality of service and a nicer experience. Order the book directly.
The examples really are there for the taking
The examples of data-driven work are literally there for the taking. We have already mentioned the Municipality of Rotterdam and the Noord-Holland-Noord Safety Region. But these are not our only clients and success stories. In addition, we recently helped a health insurance company with the implementation of data-driven working, we provided the business branch of Rabobank with interactive dashboards, we created dashboards for a chain of gas stations, we introduced data-driven working at an elementary school and we advised a telecom company in data-driven management. Don’t wait any longer and get to know Passionned Group: together we will achieve success with data.
Also get acquainted with data-driven steering?
Do you want to achieve a data-driven organization and implement data-driven work into the capillaries of your organization? Do you want to avoid the most common pitfalls and achieve data-driven success? Then feel free to contact one of our data-driven improvement specialists.