Cookie Settings

By clicking "Agree," you consent to the storage of cookies on your device to enhance site navigation, analyze site usage, and support our marketing efforts. For more information, please refer to our Privacy Policy.

Consulting

Reporting & Business Intelligence

More than beautiful dashboards

The right dashboards for the right stakeholders? What sounds like a marketing message is the basis for a shared understanding of KPIs and analytics.

In order to be able to make data-driven decisions, specialist departments and management need reports tailored to them - and that is why business intelligence is such an important part of the data strategy.

Not only must the data be structured and prepared, but also the visualization of it - because with a good dashboard, it is immediately clear how figures are developing and what forecasts for the future look like.

Why do companies need reporting and business intelligence?

Make data-driven decisions

In order for a company to move away from gut decisions to data-driven decisions, you need business intelligence. Because BI comprises a wide range of technologies and methods, from organizing and analyzing data to reporting on results.

Intelligent reporting and personalized reports

Reports should be tailored to the respective target group, as well as marketing-News. Because a data scientist needs different information than someone from the HR or finance sector! Reports must therefore be tailored to stakeholders and the most important information must be visible at a glance.

Visually process data

Visualization is a big part of business intelligence. When data is presented well visually, this increases the understanding of specialist departments and stakeholders — immensely important in order to increase the priority for data and a data culture to establish. Visualizing data is almost an art, because you have to pay attention to a lot of things.

Gain a competitive advantage

BI reporting serves as a bridge that turns raw, often scattered, and unstructured data into insights that drive strategic decision-making in an organization. This transformation is possible through specialized tools, advanced technologies, and appealing visualizations that breathe life into figures and data.

This is how we go about establishing Reporting & BI

From audit to strategy and implementation to enablement of all employees — together, we create the basis for big data and data-driven decisions.

Phase 1

Status check - the audit

As a first step in building reporting and business intelligence, we analyze the company's existing maturity level in terms of data — our Data Audit. In doing so, we identify the first use cases for dashboards and reports, which we develop and implement in further cooperation. In doing so, we include the weak points and requirements of the company.

Phase 2

Development of a BI strategy

Based on the audit, we develop a business intelligence strategy tailored to the company, which takes into account both short-term and long-term goals. To do this, we also examine the tool stack and involve the relevant stakeholders and the entire data department. Because a strategy must culture and organization fit.

Phase 3

Data integration and preparation

The next step is to implement the strategy: To this end, the relevant data sources are integrated and a consistent and reliable database is established. This data is structured and cleaned so that it is suitable for processing in dashboards. This includes the implementation of Data Governance-Guidelines.

Phase 4

Implementation of reporting and BI solutions

Now it's time to build your first dashboards! At The Data Institute, we recommend software that suits the respective company and is state-of-the-art - because there is little worse than implementing software that is no longer modern a little later and fits the rest of the tech stack. The dashboards and reports must be adapted to the respective stakeholders.

Phase 5

Enabling stakeholders

The newly created reports and BI solutions are then presented to the respective stakeholders and adapted if further requests arise.

Grafik des Frameworks mit dem Data Institute arbeitet.

Reporting and BI in our framework

We always work with the organization, culture and architecture framework.

Because in our opinion, these 3 areas are the most important factors for successfully anchoring data in the company in the long term.

Reporting and business intelligence must also be included in this framework. Access to relevant data is an important step towards increasing awareness of data that architecture describes the tools and systems that are necessary for BI and in the organization It states what responsibilities and structures look like with regard to the use of data.

The Data Institute — the strong partner for the use of reporting and business intelligence

See data at a glance and make decisions based on these? That is the goal that we want to achieve as advice to our customers. Quick impact, but at the same time long-term strategies that make companies sustainable and successful.

What is a data audit anyway?

Business intelligence (abbreviated BI) describes the process of collecting, analyzing, and interpreting data from various sources. The goal: make decisions and strategies based on data! Because that is exactly what makes a data-driven company stand out.

There is no fixed process for business intelligence. Because this area is always dependent on the level of maturity of the company and therefore on the current situation, goals, organizational form and culture. It covers data analysis, data visualization and reporting (e.g. through dashboards). The focus of reporting is on providing decision makers with the necessary information within an organization so that they are supported in their work and make their decisions dependent on data.

Business intelligence helps companies gain competitive advantages, increase efficiency, and drive growth by making informed decisions based on data.

Who needs business intelligence and reporting?

Since well-prepared reports and dashboards ensure that stakeholders gain valuable insights into their data, it is necessary for almost all areas.

Clear dashboards help management monitor the overall performance of the company, make strategic decisions and manage business goals, in the area of Finance Reports have been helping to manage budgets and create forecasts for a long time. However, reporting also supports areas that are less number-driven, for example, HR managers can manage employee data, carry out performance evaluations and make personnel-related decisions, service quality can be assessed in customer service and customer feedback can be analyzed.

Dashboards have also become an integral part of production, as reporting can be used to monitor process efficiency and optimize supply chains.

And finally, that is also marketing and sales are grateful when they see their results presented in dashboards to understand customer behavior and adjust their marketing and sales strategies.

Who is involved in reporting and business intelligence?

Since reporting and business intelligence affect so many areas, these divisions are also involved in setting up the company.

When working with customers, as The Data Institute, we focus on involving all relevant stakeholders in decisions. We therefore talk to the data department to evaluate the level of maturity and thus also the options, understand the systems and tools and recognize the connections between previous business intelligence. We then interview management to set the strategic goals for the BI and reporting system and, on this basis, develop a strategy that fits the corporate strategy.

In the next step, we develop use cases together with the various specialist departments so that they receive personalized dashboards that are suitable for them.

It is important to precisely record the requirements and to understand which KPIs and analyses the respective specialist departments want. These conversations often also reveal things that fall within the area of data governance, namely the harmonization of key performance indicators.

Abstrakte Form eines Pfades des Data Institute

What services can be combined with
Reporting & Business Intelligence
?

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5994_7571)"> <path d="M52.3125 46.5C51.4494 46.5039 50.5984 46.7026 49.8228 47.0813L41.4916 38.75H34.875V42.625H39.8854L47.0832 49.8228C46.7043 50.5984 46.505 51.4494 46.5 52.3125C46.5 53.4621 46.8409 54.5859 47.4796 55.5418C48.1183 56.4976 49.0261 57.2426 50.0882 57.6826C51.1502 58.1225 52.3189 58.2376 53.4465 58.0133C54.574 57.789 55.6097 57.2355 56.4226 56.4226C57.2355 55.6097 57.789 54.574 58.0133 53.4465C58.2376 52.319 58.1225 51.1503 57.6825 50.0882C57.2426 49.0261 56.4976 48.1183 55.5417 47.4796C54.5859 46.8409 53.4621 46.5 52.3125 46.5ZM52.3125 54.25C51.9293 54.25 51.5547 54.1364 51.2361 53.9235C50.9175 53.7106 50.6691 53.408 50.5225 53.054C50.3758 52.6999 50.3375 52.3104 50.4122 51.9345C50.487 51.5587 50.6715 51.2135 50.9425 50.9425C51.2134 50.6715 51.5587 50.487 51.9345 50.4122C52.3103 50.3375 52.6999 50.3758 53.0539 50.5225C53.408 50.6691 53.7106 50.9175 53.9235 51.2361C54.1364 51.5547 54.25 51.9293 54.25 52.3125C54.25 52.8264 54.0459 53.3192 53.6825 53.6825C53.3192 54.0459 52.8264 54.25 52.3125 54.25ZM52.3125 25.1875C51.1143 25.1911 49.9465 25.5655 48.9696 26.2593C47.9927 26.9531 47.2546 27.9323 46.8565 29.0625H34.875V32.9375H46.8565C47.2134 33.9395 47.8389 34.8242 48.6646 35.4948C49.4903 36.1653 50.4845 36.5961 51.5384 36.7399C52.5923 36.8837 53.6655 36.735 54.6407 36.3101C55.6158 35.8852 56.4554 35.2005 57.0678 34.3307C57.6801 33.4609 58.0416 32.4396 58.1127 31.3783C58.1838 30.317 57.9618 29.2565 57.471 28.3128C56.9802 27.3691 56.2395 26.5785 55.3297 26.0273C54.42 25.4761 53.3762 25.1856 52.3125 25.1875ZM52.3125 32.9375C51.9293 32.9375 51.5547 32.8239 51.2361 32.611C50.9175 32.3981 50.6691 32.0955 50.5225 31.7415C50.3758 31.3874 50.3375 30.9979 50.4122 30.622C50.487 30.2462 50.6715 29.9009 50.9425 29.63C51.2134 29.359 51.5587 29.1745 51.9345 29.0997C52.3103 29.025 52.6999 29.0633 53.0539 29.21C53.408 29.3566 53.7106 29.605 53.9235 29.9236C54.1364 30.2422 54.25 30.6168 54.25 31C54.25 31.5139 54.0459 32.0067 53.6825 32.37C53.3192 32.7334 52.8264 32.9375 52.3125 32.9375ZM52.3125 3.875C50.7714 3.87654 49.2939 4.48942 48.2041 5.57914C47.1144 6.66887 46.5015 8.1464 46.5 9.6875C46.5066 10.6157 46.738 11.5284 47.1742 12.3477L39.9048 19.375H34.875V23.25H41.4702L49.9953 15.0118C50.7872 15.3571 51.6461 15.5215 52.5096 15.493C53.373 15.4644 54.2193 15.2438 54.9867 14.8469C55.7541 14.4501 56.4234 13.8872 56.9458 13.1991C57.4682 12.511 57.8306 11.715 58.0065 10.8692C58.1825 10.0234 58.1677 9.14899 57.9631 8.30963C57.7585 7.47027 57.3694 6.68709 56.8239 6.01711C56.2785 5.34712 55.5905 4.8072 54.8101 4.43664C54.0297 4.06608 53.1764 3.87421 52.3125 3.875ZM52.3125 11.625C51.9293 11.625 51.5547 11.5114 51.2361 11.2985C50.9175 11.0856 50.6691 10.783 50.5225 10.429C50.3758 10.0749 50.3375 9.68535 50.4122 9.30951C50.487 8.93368 50.6715 8.58845 50.9425 8.31748C51.2134 8.04652 51.5587 7.86199 51.9345 7.78723C52.3103 7.71247 52.6999 7.75084 53.0539 7.89749C53.408 8.04413 53.7106 8.29247 53.9235 8.61109C54.1364 8.92971 54.25 9.3043 54.25 9.6875C54.25 10.2014 54.0459 10.6942 53.6825 11.0575C53.3192 11.4209 52.8264 11.625 52.3125 11.625Z" fill="currentColor"/> <path d="M34.875 11.625H38.75V7.75H34.875C33.7709 7.75369 32.6804 7.99469 31.6775 8.45667C30.6747 8.91866 29.7829 9.59082 29.0625 10.4276C28.3421 9.59082 27.4503 8.91866 26.4475 8.45667C25.4446 7.99469 24.3541 7.75369 23.25 7.75H21.3125C16.6894 7.75513 12.257 9.59393 8.98799 12.863C5.71893 16.132 3.88013 20.5644 3.875 25.1875V36.8125C3.88013 41.4356 5.71893 45.868 8.98799 49.137C12.257 52.4061 16.6894 54.2449 21.3125 54.25H23.25C24.3541 54.2463 25.4446 54.0053 26.4475 53.5433C27.4503 53.0813 28.3421 52.4092 29.0625 51.5724C29.7829 52.4092 30.6747 53.0813 31.6775 53.5433C32.6804 54.0053 33.7709 54.2463 34.875 54.25H38.75V50.375H34.875C33.8476 50.374 32.8626 49.9654 32.1361 49.2389C31.4096 48.5124 31.001 47.5274 31 46.5V15.5C31.001 14.4726 31.4096 13.4876 32.1361 12.7611C32.8626 12.0346 33.8476 11.626 34.875 11.625ZM23.25 50.375H21.3125C18.0545 50.3692 14.9073 49.1916 12.4457 47.0572C9.9841 44.9229 8.37242 41.9743 7.905 38.75H11.625V34.875H7.75V27.125H13.5625C15.1036 27.1235 16.5811 26.5106 17.6709 25.4209C18.7606 24.3311 19.3735 22.8536 19.375 21.3125V17.4375H15.5V21.3125C15.5 21.8264 15.2959 22.3192 14.9325 22.6825C14.5692 23.0459 14.0764 23.25 13.5625 23.25H7.905C8.37242 20.0257 9.9841 17.0771 12.4457 14.9428C14.9073 12.8084 18.0545 11.6308 21.3125 11.625H23.25C24.2774 11.626 25.2624 12.0346 25.9889 12.7611C26.7154 13.4876 27.124 14.4726 27.125 15.5V23.25H23.25V27.125H27.125V34.875H23.25C21.7089 34.8765 20.2314 35.4894 19.1416 36.5791C18.0519 37.6689 17.439 39.1464 17.4375 40.6875V44.5625H21.3125V40.6875C21.3125 40.1736 21.5166 39.6808 21.88 39.3175C22.2433 38.9541 22.7361 38.75 23.25 38.75H27.125V46.5C27.124 47.5274 26.7154 48.5124 25.9889 49.2389C25.2624 49.9654 24.2774 50.374 23.25 50.375Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5994_7571"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Machine Learning

Not a gimmick, but real added value

Data news for pros

Want to know more? Then subscribe to our newsletter! Regular news from the data world about new developments, tools, best practices and events!

Abstrakte Form eines Pfades des Data Institute