Your guide will be Cezary Jagaś, E-commerce Data Lead at Publicis Le Pont.
Currently, we analyze only 32% of the data that can work to our advantage . This means that about 70% of the data escapes us somewhere. And on the market, the winner is the one who can obtain an additional 1% of data and analyze it in such a way as to make the right business decision. Success in this area depends on many factors. The first is the selection of data, the second – skillful analysis. A person must know where to look, and artificial intelligence should complement him in processing and analyzing data.
The research company Gartner has been indicating MS Power BI as the leader and visionary on the market for many years. The Microsoft package has competition, of course: Google Data Studio and Amazon Quick Sense. All three companies are trying to develop Business Intelligence tools, but each does it in such a way as to adapt them to their applications. Amazon is known for developing e-commerce market functionality, Google focuses on analytics of websites based on Analytics, and Microsoft bases its functionality on office applications.
Power BI is extremely popular because it can be easily and quickly integrated with MS tools: Teams, PowerPoint, Outlook, or other Power Apps. In addition, it is a very intuitive tool. Anyone who has previously worked in Excel will have no problem implementing Power BI. They will also immediately notice the advantage of the new tool over old spreadsheets.
Advantages of MS Power BI over MS Excel:
- MS Excel has a limited number of rows in a spreadsheet. However list of armenia cell phone numbers in MS Power BI, you can analyze any amount of data. Artificial intelligence and machine learning tools (additionally paid) are used to analyze large volumes. In this way, the data will be processed quickly.
- Power BI is primarily an online architecture. Although MS Excel is available on mobile devices, only Power BI gives you the ability to analyze all data in real time and receive alerts when a KPI important to us changes (e.g. sales drop or increase).
- The Power BI user community exchanges best practices, solutions, and visualizations (ready-made dashboards) so that others can benefit from them too.
The introduction of Power BI to an organization as a reporting tool is a holistic process, encompassing all functions in the company, and is not limited to training the analytical department. This means taking care of all the technical aspects of such an implementation, as well as changing the way of thinking in the organization. Implementing Power BI involves preparing every employee for the change (and not just those who will create new reports).
7 steps to implementing Power BI into your organization
#1. Analysis + Valuation
This is the most important stage of implementation. All subsequent ones are the result of a well-prepared needs analysis.
We need to ask ourselves the following questions:
- Why do we want to introduce MS Power BI to the organization?
- Why do we need such a change?
-
What resources
do we have?
- human resources: how many employees do we have in the analytical department; what level of analytical knowledge (theoretical and practical) do our employees have google adwords is much more than google does anyone already know how to use MS Power BI; what level of advancement do employees have in using MS Excel; who will use the reports; what data security measures do we need to take care of; how should we categorize the groups of recipients and the levels of access to data?
- hardware resources: it is worth checking the hardware you have at work, because MS Power BI has its own specific hardware requirements, as well as servers (are they within the organization or outside it?)
- What should the implementation timeline look like when we assume our implementation should take place?
- What security measures are we dealing with in the company? Will we have access to all data? Are there security measures that operate at a global level?
SAP, a cloud-based company management system, seems easy to implement, but it requires not only the involvement of our analytical departments, but also regional and global teams that manage this distributed system. Therefore, it is worth including the area of data -
sources in the analysis.
At this stage, we need to collect all the KPIs that our company uses. However ej leads it is essential to prioritize goals. First, we focus on the most important KPIs and determine which data we want to analyze. Stage I ends with a quote (how much will it cost us to develop competencies, purchase new equipment, and hours of developer involvement?), which must be confronted with the budget. The analysis will give us an answer to the question of whether implementing MS Power BI in the organization is profitable at all. As a result, we will have an implementation decision.