Guide to implement Business Intelligence – 1 – Introduction to Business Intelligence
Business intelligence is about bridging the gap between collected data and the data that business people need to drive business and improve. It’s about taking that data and turning it into beneficial information that can be used to help your business grow. Although the tools exist to help with this, many organizations only manage what they can measure, which may not deliver business value.
Organizations must react to the information given to them as this is where value is added, this is what we refer to as BI culture, creating the mindset within the organization to ensure that people get the best of it. business intelligence solutions to make sure the business can move forward.
For a business intelligence solution to truly add value, you must start by considering your key performance indicators (KPIs), these are business information needs, what do you need to know to make better business decisions?
To define the KPIs it is necessary to know what the vision of your business is. You need to start from the top and determine what the objectives are, what is your business vision and where it is leading, this will allow you to determine what are the critical factors for success, once you know this you can decide what KPI you need .
Once you’ve determined what critical success factors affect these KPIs, you’ll need to make sure everyone knows what your KPI is (within any organization, it’s not uncommon for a KPI to break down into different parts of the business). Once everyone is working on their own KPI, you can start measuring performance indicators, which are essentially the results of your business activities.
Implementing an effective business intelligence solution can be difficult because it is often cross-functional, the data quality is sometimes unknown and everything will not always be under your control, or it may simply be a case that the KPIs are not fully understood or not fully understood. sufficiently clearly aligned with the data being used.
Another reason companies may find it challenging is because they often have long delivery cycles in their IT departments, for example if you are using a cascading approach where you have to define requirements in advance, get their approval, and then move on to a period of six months. delivery cycle, often what you are delivering is no longer what the end user needs because the business has moved on. This means that to implement business intelligence solutions it is strongly recommended that a more agile development approach be adopted in which shorter delivery cycles are used and the end user is continuously consulted (i.e. what do they want, what are their priorities, etc.).
An effective way to ensure that data is moved and processed is the Extract, Transform and Load (ETL) tool, which is there to move the data from A to B and process it. There are many ways this can be done, it is traditionally made by hand, this solution will work well if you have people who are familiar with where they are working and like to code by hand. However, a senior manager who has the subject of managing change and controlling that source code will prefer to centralize it and have it in one tool to make it more manageable.
Having an ETL tool can be very beneficial if you are building a data warehouse, as it will need to evolve and change with your business; in this case, you want a set of tools that allows you to quickly adapt to your system. Today’s ETL tools, which are highly centralized and multi-user based, allow people to change data and document the processing they are doing as they build it, it is a rapid development tool, so if your business is very complex and evolving quickly over time, an ETL tool would be recommended.
Your human resources data is usually key for most companies, you need to know exactly who your employees are, what skills they have and the benefits they bring to your business; most of the time, they will also be one of your biggest costs.
In many cases, HR data will be the last to enter a data warehouse due to the sensitive nature of the data, but once you start managing this data effectively, you can see things like retention, at a glance, absences and where people are struggling and this information can prove invaluable when it comes to running your business effectively.
However, this data can be difficult to analyze because anyone can have many attributes hanging from it, which means that they can have many dependents and many skills; However, if you extract the HR data into a data warehouse, you can actually overcome some of the problems inherently encountered, then you can usually find invaluable information on how you can manage your people more effectively.
A data storage device is an all-in-one solution, hardware, database software and network software, which allows you to take data from disks, filter it, present it and generate queries from terabyte databases, it is ideal for very large and very large databases. data solutions.
However, a data storage device does not grant immunity against the daily challenges that business intelligence presents, the front-end delivery solution still needs to be designed and built and is still in demand from changing user requirements as well. such as data quality problems, but a data storage device allows you to process large amounts of data in a much more optimal way.