Business Intelligence Road Map – Business intelligence is a tool for turning raw data into useful insights. It allows you to collect data from a variety of sources, organize them, and then enjoy analytics. Do you need it? Probably because it’s the most balanced view of the business you can get. But as you can imagine, starting such a complex task requires a certain amount of preparation and we hope we can help you with this. If you have implemented several BI processes in your company, then this article will help you stay organized. Now let’s talk about your Business Intelligence strategy.
A BI strategy allows you to solve all your data problems and needs, develop integrated systems, and maintain them. What happens when you start implementing BI without a strategy? Basically, you’re obsessed with getting these charts, but no one in the company knows why or how to use them. This is a simple example of the before and after life of a BI strategy.
Business Intelligence Road Map
We’ve published guidance on implementing BI practices in your organization in the past. We’ll now take a closer look at documenting your BI strategy, a step in your implementation plan.
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Eye sight. Why are you building a BI practice in your company and what do you want to achieve?
Tools and Architecture. What dashboards and solutions do we want to build? For which areas? And how will those areas be affected?
So as you review your company’s corporate strategy, you’ll have an idea of ​​what BI initiatives you’d like to start. This vision then helps to choose the right people who will use and maintain the chosen process. You use software tools to support people and processes. Finally, you create an architectural plan for its development. Now let’s take a closer look at these steps. And we’ll start with businesses that already have BI.
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You must establish a baseline so that you know where you are going. You know that some departments use analytics, but the data is often intercepted – assuming marketers don’t have access to sales data, customer support tracks customer feedback for their own internal purposes or analysis may not exist. all – basically it seems to work, but how effective it is is unclear.
So the first step is to talk to all the players in the current BI process: users and IT teams, department managers, and stakeholders. As a result, you will get answers to the following questions.
Then do a SWOT analysis to sort through what you find. One of the key strategy development tools, a SWOT analysis can help you identify your key assets and challenges at the next stage.
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Vision is a combination of purpose and direction. There is no strategy without a vision. This manifests itself in many important decisions, such as what data we get and who gets insights.
The vision statement has one very simple purpose: to explain to people who already have favorite tools and processes in your organization why they need the new tool and how the change will happen.
Our vision for BI is to create and support infrastructure that provides secure, permissioned access to data anywhere in the enterprise. Our organizational standard for BI tools is ________. We operate and measure our BI Competency Centers based on end-user satisfaction surveys and successful implementations. A significant portion of our end-user community requires access to near-real-time data. Therefore, such an infrastructure was created to accommodate them. We currently support ___ users, which is ___% of our total users. Our goal is to increase usage on (days) by ___%. We weigh the potential cost of increased BI adoption against the business value and ROI. So we have a clear, measurable, accountable and defensible vision for our success.
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Bier notes that a vision expressed this way can help avoid executives whose sole goal is to provide workers with cheap tools and a return to “real work.” “.
Finally, vision often accompanies a mature BI model, a scale that shows how mature your strategy is. You can find several interpretations of the maturity model, one of Gartner’s most popular, on the website. According to them, there are five levels of BI maturity: Unaware, Opportunity, Standard, Enterprise, and Transformation. Using these templates will help you define your progress and what your next goal should be.
BI governance is defining and implementing the BI infrastructure. (Not to be confused with data governance, which ensures consistent use of data within an organization.) It consists of three components:
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Define the BI governance members, their roles, responsibilities, functions, goals, and relationships to different structures in your company. Engage people at all levels, from executives to end users, and bring all their perspectives to the table. So it’s not really a group of BI experts, but a panel of representatives from different regions of the company.
However, large enterprises will benefit from the entire team of experts in the Business Intelligence Competency Center (BICC). BICC helps to define data needs, establish data governance structure, monitor data quality, and overall data integration process. These are programmers, data scientists, analysts, and experts in relational databases and reporting tools. If you have potential experts or the resources to hire them, you should form such a team.
The BI Lifecycle is a framework that supports a BI effort or, more specifically, the architecture and tools used within it. Generally, the architecture looks like a path that starts with the data source (your ERP, external sources, etc) and then goes through the data integration or ETL process to transform the data and load it into the archive (datastore and supermarket data). The final data is displayed in dashboards and interactive tools. There are several types of architecture with different configurations of system elements.
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Choose a BI tool. Depending on your level of trust, you can get an end-to-end platform for each stage of the BI process, or create your own mix. Depending on the price or whether you want on-premises or cloud storage, you might find the perfect fit. Use our guide to the best BI tools to help you get the job done.
Design data integration processes. Identify data sources and make sure your BI tool can evaluate them. Ensure high-quality data and streamline data preparation processes. Consider the architecture of the data warehouse.
Provide data presentation. Define the type of reports and dashboards your system should display based on end-user needs and KPIs. Using our guide for some data visualization ideas, we’ve also listed some tools and libraries.
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Perform user acceptance testing. User acceptance testing is an often overlooked but important process when you require end users to perform a series of tasks and gather information about system performance and usage. Then you prepare the test cases, choose the test duration and select the required tools.
Conduct training. End users must be trained to understand the basics of data and use the visualization platform. Prior to that, non-BI admin team members had to be trained to understand the data transformation steps. Basically, you need to find out where the knowledge gaps are and fill them as soon as possible.
In addition to training, be prepared to serve customers and solve their problems. Set up a feedback process and decide how to respond as quickly and cost-effectively as possible. Having a customer support framework means covering them from three perspectives:
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Supporting data education – providing a knowledge base that allows users to find answers to incoming data: metadata, data goals, metrics, data sources, etc.
Tool support – if possible, select a tool with the end user, set an agreed time frame for problem response, and let them know which channel or contact they can use for support.
Enterprise support – ensuring that end users not only understand the data, but also know how to extract value from it. Assign a mentor to each department to help users learn how to deliver value through BI tools, what metrics and metrics to look for, and how to identify data trends.
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Here, the roadmap is a visual document that shows the results to be achieved at different stages in a given time period. In this step, you have all the data you need for mapping and scheduling, so you only need to set the time and results for each task.
Roadmaps can only include high-level tasks, such as “Find a BI Vendor” or narrow it down to “Build a list of ten best matches”, but for strategy mapping, the total senior officials will suffice. Here is an example of such a route covering three quarters. It has effective milestones and divides tasks into groups.
The route creation guide will help you more, but we’ll reiterate a few key points here.
Business Intelligence Roadmap Template
The logic behind the strategy document will be the point of reference for the entire organization and will be used in the strategy presentation. What sections should be included in this document?
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