Who I am
Business Intelligence Expert
I'm a Computer Engineer specialized in Business Intelligence. My latest works are developed with Oracle Business Intelligence 12c. I love the BI Mobile applications. I'm an expert in Oracle Enterprise Performance Management 11g, and my best skills are in Essbase ASO / BSO analytics application Administration & Developement. I worked with Microsoft SQL Server: TSQL and SSIS developement for implementing data staging area and Microsoft Power BI.
What I do
About my Job
I’m currently employed as Business Intelligence Expert in a fashion retail company. I’m a specialist in Data Warehousing, Business Intelligence and Enterprise Performance Management solutions. Throughout my career, starting from the end of my studies, I worked on Business Intelligence projects, starting from data integration activities to dashboards and corporate reporting.
For a successful BI implementation
Gather your analysis and reporting requirements up front! Having all the necessary requirements from them up front saves a lot of extra rework down the road.
Continually validate data
You can easily lose the faith of your end users forever if your data is determined inaccurate during the initial roll-out. Constantly getting eyes in front of the data allows for more opportunities to catch errors and it makes the final validation/QA stage easier on the validation team.
Scheduling your phases very much depends on the dynamics and internal politics of your organization. Which phases will impact your organization the most?
Gradually roll out
Gradually roll it out to your departments: Rather than trying to force the whole company to make a complete paradigm shift at once, rolling out the BI application to individual departments and/or business areas allows you to focus your resources a little at a time to make sure the roll out is smooth and successful
Must Have Books
Books I think you should have
Here’s what you should look out for in 2018
Top 5 Business Intelligence Trends
Data discovery has traditionally been the domain of power users and experts with the skills to understand advanced analytics.
Business leaders had to convey their data requests to an IT expert who would create a report. This could take days of waiting and requests could get lost in translation. By that time, the information may be no longer relevant.
Now, the ongoing simplification of BI will continue to enable everyday business people to easily and quickly access real-time analytics.
You’ll no longer need to know how to write complex queries for reports. You’ll just need to know how to use a simple BI solution to drill down into the data and discover the answers to your questions. You can find out what’s happening below the surface of your business and use this information to make better decisions.
Visual analytics makes data discover easy for non-analytical people. Visualizations activate our brain’s pattern recognition capabilities and make it easy for us to digest information at a glance. Many business leaders find it easier to detect patterns if data is presented in charts and graphs, as opposed to being buried in data tables spanning multiple pages.
Visual analysis is an important feature and is heavily sought after by businesses. It’s a more effective and efficient way of enabling decision makers to access, and quickly act on, data.
A good visual analytics feature (otherwise known as a dashboard), will prompt you to look deeper into your data to continue discovering answers to questions that may arise along the way. Business intelligence dashboards should offer you the ability to drill down on any feature of the data you see and manipulate it as you like.
Ideally, you will also be able to customize your dashboard and sort by products, customers, sales representative, or anything else that is relevant to you. With the right dashboard, you will be able to quickly reveal sale opportunities, and/or threats, which may otherwise have gone unnoticed.
Self-service BI is an important extension of the previous two trends. Essentially, self-service BI is when a staff member uses a BI solution to analyze live business data and build immediate, accurate, and customized visual reports without the need for clunky reports from IT specialists.
Gartner predicts that by the end of the year, most decision makers and business users will have access to self-service BI solutions to make better-informed decisions, and act on them more quickly. According to Gartner research vice president, Rita Sallam, “self-service data integration will reduce the significant time and complexity users face in preparing their data for analysis and shift much of the activity from IT to the business user.”
In today’s fast-paced business environment, decision makers across a business require access to critical information anywhere, anytime. This has largely been made easier with BI’s increased accessibility on mobile and the improving ability of smartphones to allow more detailed information to be analyzed on a mobile device. This has invariably led to the rise of mobile business intelligence (mobile BI).
The number of businesses using mobile BI has grown significantly year-on-year. According to the Aberdeen Group, companies using mobile BI are 68% percent more likely to get business data on time than companies not using it. This means that in a cutthroat business environment, companies that use mobile BI are in a significantly better position. Using data-driven decision making, they have the best chance of staying ahead of the competition.
Traditionally, most BI software is hosted on-premise, but the increase in on-demand data access has led to the emergence of cloud BI. The benefits of cloud BI include low cost, better mobile accessibility, and extreme scalability. Gartner states that 80 percent of organizations are likely to increase their investment in cloud-based products in the years to come.
Cloud BI offers several advantages, including:
Users can quickly and easily install a cloud BI solution because it’s an internet-based software. There isn’t a need for IT staff.
Ease-of-use if how good cloud BI solutions are designed. User-friendly dashboards and intuitive design means users are set up almost instantly, without muddling through a complicated set of instructions.
Users can access data anywhere, anytime using cloud BI on mobile devices and tablets.
As companies expand (staff and/or geographically) adding new users to an existing cloud BI solution is simple and quick.
Cloud BI reduces operational dependence on staff because it’s internet-based.
Companies of all sizes within an industry can access cloud BI and use it to make up ground on larger companies with bigger budgets. Cloud BI creates a more level playing field because of its range of benefits and low cost.
With a clear idea of the latest BI trends, business leaders will be better placed to uncover previously unseen opportunities and challenges and negate potential threats before they have a significant impact. In 2018, this will lead to better decision making and more efficient processes. If you need a hand deciding which business intelligence software is right for you, use the Product Selection Tool and get a curated list of vendors that best fit your company’s unique BI software needs.
The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information. The purpose of Business Intelligence is to support better business decision making. Essentially, Business Intelligence systems are data-driven Decision Support Systems (DSS). Business Intelligence is sometimes used interchangeably with briefing books, report and query tools and executive information systems.
Business Intelligence systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data. Software elements support reporting, interactive “slice-and-dice” pivot-table analyses, visualization, and statistical data mining. Applications tackle sales, production, financial, and many other sources of business data for purposes that include business performance management. Information is often gathered about other companies in the same industry which is known as benchmarking.
Currently organizations are starting to see that data and content should not be considered separate aspects of information management, but instead should be managed in an integrated enterprise approach. Enterprise information management brings Business Intelligence and Enterprise Content Management together. Currently organizations are moving towards Operational Business Intelligence which is currently under served and uncontested by vendors. Traditionally, Business Intelligence vendors are targeting only top the pyramid but now there is a paradigm shift moving toward taking Business Intelligence to the bottom of the pyramid with a focus of self-service business intelligence.
Self-service business intelligence (SSBI) involves the business systems and data analytics that give business end-users access to an organization’s information without direct IT involvement. Self-service Business intelligence gives end-users the ability to do more with their data without necessarily having technical skills. These solutions are usually created to be flexible and easy-to-use so that end-users can analyze data, make decisions, plan and forecast on their own. Companies have taken an approach to making Business Intelligence an easily integrated tool for other end-user tools such as Microsoft Excel, Access, Web browsers and other vendors.