Business Intelligence Tasks Beginning

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Business Intelligence Tasks Beginning – Business Intelligence is the vehicle for turning raw data into actionable insights. It allows you to collect data from various sources, organize it and then enjoy the analytics. should you Probably yes, as this is the most balanced view of the business you can get. But as you can imagine, embarking on such a complex endeavor requires some preparation, and we hope to help you with that. And if you’ve already implemented some BI procedures in your company, this article will also help you get organized. Now let’s talk about your business intelligence strategy.

A BI strategy will allow you to address all your data problems and needs, develop a cohesive system, and keep it supported. What happens when you start implementing BI without a strategy? Basically, you focus too much on getting these graphs, but no one in the company has an understanding of why and how to use them. Here’s a handy illustration of life before and after a BI strategy.

Business Intelligence Tasks Beginning

We previously published a guide to implementing BI practice in your organization. Now we get into the details of one of the stages of your implementation plan – documenting a BI strategy.

Passive Business Intelligence. Knowledge Of What Is Possible Is The…

Vision. 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 they affect these areas?

So as you look at your company’s corporate strategy, you envision what BI initiatives you want to start. This vision then helps you choose the right people who will use and support the chosen processes. To support people and processes, you use software tools. Finally, you establish the architectural plan for its development. Now let’s look at these steps in detail. And we’ll start with those businesses that already have some form of BI.

To know where you’re headed, you need to set a baseline. Let’s say you know that several departments have used analytics, but the data is mostly siled – marketing people don’t have access to sales information, and customer support tracks user feedback for their own internal purposes, or maybe no analytics at all – basically it seems to work, but how effectively it’s not clear.

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So the first thing you need to do is talk to all the participants in the current BI processes: users and the IT team, department managers and stakeholders. As a result, you should have answers to the following questions:

Then put together a SWOT analysis to organize what you’ve discovered. SWOT analysis, one of the main tools for building a strategy, will help you uncover your main advantages and problems for the next stage.

Vision is a combination of purpose and direction. There is no strategy without a vision. It manifests itself in the form of very important decisions, such as what data we will extract or who will have access to the insights.

The vision also has a very simple purpose: to explain to the people in your organization – who already have their favorite tools and processes – why they need new ones and how the transformation will happen.

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Our enterprise vision for BI is to create and maintain an infrastructure with secure and authorized access to data stored anywhere in the enterprise. Our corporate standard for a BI tool is ________. We staff and measure our BI Competency Center based on end-user satisfaction surveys and successful implementations. An important segment of our end-user community requires near-real-time access to data. That is why we have provided such an infrastructure to accommodate them. We currently support ___ users, representing ___% of our user population. Our goal is to increase usage by ___% by (date). We weigh the potential costs of increased BI usage against the business value and ROI we receive. This way we have a clear picture of our success that is measured, distinct and defensible.

Biere also notes that a vision articulated in this way will help push back executives whose only goal is to provide staff with cheap tools and get back to “real work.”

Finally, the vision is often accompanied by the BI Maturity Model – the scale that tells you how mature your strategy is. You can find several interpretations of the network maturity model on the web, one very popular model comes from Gartner. According to them, there are five maturity levels for BI: Unaware, Opportunistic, Standards, Enterprise, Transformative. Using these patterns helps you identify your areas of progress and what your next goals might be.

BI management is about defining and implementing a BI infrastructure. (Not to be confused with data governance, which ensures the consistent use of data across an organization.) This involves three components:

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Identify the members of BI management, their roles and responsibilities, functions, goals, and relationships with various structures in your company. Involve people at all levels, from executives to end users, to bring all your perspectives to the table. So it’s not really a group of BI experts, but rather a board of representatives from different areas of the company.

However, larger enterprises would benefit from a panel of all experts in a Business Intelligence Competence Center (BICC). BICCs help identify data needs, establish data governance structures, monitor data quality, and overall data integration processes. These are programmers, data specialists and analysts, specialists in relational databases and reporting tools. We recommend creating such a team if you have a pool of free specialists or resources to hire them.

The BI lifecycle is a framework supporting the BI effort, or specifically the architecture and tools used for it. Architecture typically looks like a pipeline starting with data sources (your ERP, external sources, etc.), followed by a data integration or ETL process where the data is transformed and loaded into the repository (data warehouse and storefronts data) before the data is finally displayed in dashboards and interactive tools. There are several architectural styles with different configurations of system elements.

Choice of BI tools. Depending on your confidence level, you can get an end-to-end platform or create your own mix for each phase of the BI process. You can also find the perfect match in terms of price or depending on whether you want to deploy on-premises or in the cloud. Use our guide to the best BI tools to help you with this task.

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Drafting the data integration process. Define the data sources and make sure your BI tool can evaluate them. Ensure data is of high quality and set up data preparation processes. Consider the architecture of a data warehouse.

Ensuring data representation. Determine what types of reports and dashboards your system will display based on end-user needs and KPIs. Use our guide for some data visualization ideas, where we also list some handy tools and libraries.

Perform user acceptance testing. User acceptance testing is an often overlooked but critical process in which you ask end users to perform several tasks and gather baseline information about the usability and performance of the system. Then you prepare the test cases, choose the time for testing and choose the necessary tools.

Conduct training. End users must be trained to understand the basics of data and use a visualization platform. Prior to this, management team members who are not proficient in BI must be trained to understand the phases of data transformation. Basically, recognize where there is a knowledge gap and make sure to fill it as soon as possible.

Solved Task 2: Q.1 Knowledge Management Applications/portals

In addition to training, prepare to serve users and address their problems. Set up your feedback process and decide how you can respond to it as quickly and cost-effectively as possible. Having a customer support framework means you cover them from three positions:

Educational Data Support – Provide a knowledge base to enable users to find answers they have about the incoming data: metadata, data purpose, metrics, data source, etc.

Tool Support – If possible, select the tool with end users, then establish agreed timeframes for problem response and communicate what channels or contact they can use to get support.

Business support – make sure end users not only understand the data, but know how to get value from it. Assign mentors in each department to help users learn how to deliver value through BI tools, what metrics and dimensions to look for, and how to identify trends in data.

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Here, the roadmap is a visual document demonstrating results at various stages of implementation within the schedule. By this step, you already have all the data you need to organize and plan on the map, you just need to set up time frames and deliverables for each task.

A roadmap might only cover high-level tasks like “Find a BI vendor” or be narrowed down to “Create a list of ten best matches,” but for strategic mapping, a high-level overview will suffice. Below is an example of such a three-quarter roadmap. There are scores and milestones, and tasks are divided into teams.

Our guide to building a roadmap should help you further, but we’ll reiterate a few key ideas here.

The logic behind the strategy document is that it will be the reference point for the whole organization and will be used to present the strategy. What sections should go into this document?

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How will you measure?

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