Introduction The business world has never been more reliant on business intelligence capability. As global online business and consumer led markets in goods and services grow, relevant external information and trend analysis are key to ongoing business competitiveness.
The challenge for all business is that disruption, including machine learning, artificial intelligence and Big Data analytics capabilities, is the new norm. Businesses can expect the need to access and apply intelligence in the next five years to continue to expand.
Fortunately new online tools and specialist BI start-ups are filling the current capacity and capability gap in data analytics.
If you are looking to establish a role for a business intelligence analyst, this article also describes some of the in-house reasons for appointing a BIA and the expectations about the breadth of skills that may be required to best address the business need.
For those looking to contribute to a business in a business intelligence analyst role, this article will provide some insights into where the role intersects in the business environment and what capabilities you can bring to the role.
As a key enabler, the purpose of the role will be to support business competitiveness while identifying new opportunities for the business to move forward.
My experience covers qualitative intelligence and knowledge management with a background in geographic information systems and disease management systems in government. Chris describes his role as problem solver: We now have a shared interest in intelligence management in Higher Education from both the education market and the research development perspectives.
Business Intelligence BI can be described as the sets of information provided through data analysis and knowledge management, which can inform decision makers on areas for response. This can be in relation to emerging external trends or changing internal performance demands.
A simple way to consider BI is to look at whether the data that informs business development goals is drawn from internal systems or external sources. Internal information in large organisations will generally come from business wide enterprise systems, such as SAP or ORACLE database systems, or can be drawn from a range of more distributed, and often informal, data capture systems from across the organisation.
This data can then be analysed for BAU reporting and tested against other information to identify how the organisation is performing against expectations. The external information would also provide information on competitive profile of like businesses.
In marketing, the capture of social media trends via Google Analytics, Kissmetrics or similar analytical tools is now a familiar activity, but making sense of the array of information may not always be straightforward.
In describing the BI framework in an organisation, Chris describes his view with the onion analogy. The next layer is processes, data and people.
The external branch has a focus on competitive intelligence while the internal is focused on business intelligence and performance. In many large organisations, the two forms of external and internal information intelligence demand are merging through the Data Lake concept.
This is taking over from formal Data Warehouse designs, where inputs are typically highly structured and outputs are packaged for a level of standard reporting.
This information is used to process data as well as address new business questions. Martin Fowler simply describes the Data Lake as a store for raw data, in whatever form the data source provides. There are no assumptions about the schema of the data, each data source can use whatever schema it likes.
It's up to the consumers of that data to make sense of that data for their own purposes. Diagram based on work by Martin Fowler As shown in the table developed by Tamara Dull Director of Emerging Technologies, SAS Best Practices below, the growth of the Data Lake concept is also driving the demand for data scientist skills to enable business intelligence analysts over other business professionals.
The structured data form is still likely to hold as essential for some time for business critical areas. Just as information management and information systems are becoming less rigid, the Business Intelligence Analyst role needs a level of agility to inform as well as respond to changing business needs.
The principle role of the Business Intelligence Analyst within the overall Business Intelligence System of an organisation is to provide a vertical bridge through the business to communicate information of high value to support decision making demands. Often the first step for an incoming BIA is orientation and understanding the business current state.
What systems and mechanisms for data capture, storage and processing are being applied?Sep 09, · Afiq Murad Rasydan Multimedia University An briefed animated presentation of a sub chapter in Information Systems and Multimedia (BIM ).
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Volume 30 Article 12 On the Role of Context and Subjectivity on Scientific Information Systems Thomas Narock University of Maryland Baltimore County, Department of Information Systems. Mediware provides software solutions for healthcare and human services organizations. Thousands of organizations rely on Mediware every day.
Publications. Books. Network Propaganda: Manipulation, Disinformation and Radicalization in American Politics (Open Access) (Oxford University Press ).. The Penguin and the Leviathan: How Cooperation Triumphs Over Self-Interest (Crown Business ). Next Generation Connectivity: A review of broadband Internet transitions and policy from around the world.