Business Intelligence Analyst Trabajo – This knowledge is brought to you by business intelligence analyst and expert Megan Power, just one of thousands of leading business analytics consultants.
The business world has never been more dependent on business intelligence capabilities. The rise of data analyst employment in the US and the recent call in Australia to ‘teach coding to kids in schools’ suggest a realization that the workforce of the future will need to engage with the magic of data and make it meaningful.
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One challenge for business leaders, who will continue to need internal information to analyze performance, is the increased need for testing; ‘what next?’, ‘what if?’ and ‘what’s there?’ scenarios.
What Is A Business Intelligence Analyst? Making Data Driven Business Decisions
As global online business and consumer-led markets for goods and services grow, relevant external information and trend analysis are essential for sustained business competitiveness.
The challenge for all businesses is that disruption, including machine learning, artificial intelligence and the analytical capabilities of Big Data, is the new norm. Businesses can expect the need to access and apply intelligence to expand over the next five years. Fortunately, new online tools and specialized BI startups are filling the current capacity and capability gap in data analytics.
The purpose of this article is to support the business manager’s understanding of the role of the business intelligence analyst to make their effective entry into the organization.
If you are looking to establish a role for a business intelligence analyst, this article also outlines some of the internal reasons for appointing a BIA and expectations regarding the breadth of skills that may be required to best address a business need.
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For those looking to join a business in a business intelligence analyst role, this article will provide some insight into where the role fits into the business environment and what capabilities you can bring to the role.
As a key enabler, the focus of the role will be to support business competitiveness while identifying new opportunities for business development.
As any good Intelligence Analyst, I called on fellow BI Chris Ong, Director of BI and Development with Newcastle University to prepare this article.
My experience includes qualitative intelligence and knowledge management with a background in geographic information systems and disease management systems in government. Chris describes his role as a problem solver: process, data and people and he has experience in global industry and business with BHP Billiton.
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There is now a common interest in intelligence management in Higher Education from both the education market and research development perspectives.
Business Intelligence (BI) can be defined as a set of information provided by data analysis and knowledge management, which can inform decision makers on areas for response. This can be related to external trends in output or changing internal performance requirements.
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 organizations will often come from enterprise wide enterprise systems, such as SAP or ORACLE database systems, or can be extracted from a variety of distributed, and often informal, data capture systems throughout the organization.
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This data can then be analyzed for BAU reporting and tested against other information to identify how the organization is performing against expectations. External sources may be directed directly from the business, such as market surveys that provide information on customer expectations or a more formal analysis to identify what ‘external’ trends the business may need to respond to.
External information will also provide information on the competitive profile of similar businesses. In response to the outbound shift, businesses can increasingly draw on “self-service” external online analytics resources.
In marketing, capturing social media trends through Google Analytics, Kissmetrics or similar analytical tools is now a well-known activity, but understanding the array of information may not always be easy. In describing the context of BI in an organization, Chris illustrates his point with the analogy of an onion.
As with any business component, a comprehensive Business Intelligence System must deliver value and the cost of adopting and adapting large enterprise data systems is being challenged by lower cost and smarter cloud and web services options.
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In many large organizations, the two forms of external and internal information intelligence demand are combined through the concept of the Data Lake.
This follows from formal Data Warehouse designs, where inputs are often highly structured and outputs are packaged for a standard reporting level. A Data Lake means that data can come from multiple sources and be ‘combined’ in a less structured way to be ‘taped’ as needed with new analytical tools or programmed queries.
Open source packages, such as Apache’s Hadoop, which is used by large online services such as Amazon, Twitter and eBay, are an example of a programming tool that can be installed to extract data from a set of data storage clusters.
This information is used for data processing as well as new business inquiries. Martin Fowler simply describes Data Lake as a store for
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Data, in what form the data source provides. There is no doubt about the data schema, any data source can use whatever schema it likes. It is important that consumers of that data understand that data for their own purposes.
As shown in the chart developed by Tamara Dull, Director of Advanced Technologies, SAS Best Practices below, the growth of the Data Lake concept is also driving the demand for data scientist skills to make business intelligence analysts superior to other business professionals. activate
While Martin suggests in his diagram that ‘we’ select data for every need, the reality is that selecting, extracting and analyzing the ‘right’ data from the Data Lake is still the domain of a professional data scientist or analyst.
Table taken from Dull (2015) While the ‘one-size-fits-all’ data system prevalent in the corporate enterprise of large organizations is rapidly changing to more agile approaches, challenges around data security and integrity Statistics remain for Data Lake adopters. The structured data format is still likely to remain the core for some important business-critical areas.
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As information management and information systems become less rigid, the Business Information Analyst role requires a level of skill to inform as well as respond to changing business needs.
The primary role of a Business Information Analyst within an organization’s General Business Information System is to provide a vertical bridge through the business to communicate high value information to support decision making requirements. If the BIA role takes a ‘business insight’ approach and the analyst is employed to work with decision makers, information managers and external service providers to continuously contribute to business development, they will provide greater value. Usually the first step for an inclusive BIA is an orientation and understanding of the current state of the business.
BI needs to be able to assess the existing systems of the organization as well as the business culture. They will need to understand ‘What are the business development goals? What systems and mechanisms are applied for data capture, storage and processing? What methods are used for analysis, ie how automated are the systems? How creative or spatial are the needs?”
A Business Intelligence Analyst may cover different parts of the organization, often working from more of an internal or external perspective. In large organizations, BIA is expected to bring a level of knowledge about handling Big Data and can be expected to inform future intelligence gathering priorities.
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As a first step, BIA may work across the organization to create a posture around the “4 V’s of Big Data”, a concept coined by IBM to provide a framework that can inform business management:
While the types of skills required will greatly depend on the size and scale of the organization, a BIA can add value from the start through its technical, analytical and problem-solving skills. They will typically come with backgrounds and skills in Information Technology, Data Science and Computer Engineering.
Despite these backgrounds, the role must be clearly different from the IT or Engineering specialist who may be expected to analyze to build a business technology solution for the organization.
Rather than providing specific technical solutions, BIAs bring the understanding of data collection and analytics to intelligence and knowledge. In any organization this can be a wide range of activities that can include:
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For the business marketing that is the BIA role, an organization will expect knowledge and experience across a variety of social media platforms and media analytics tools.
A double degree in information technology as well as communication and media relations would be an advantage for these roles. However, if the organization anticipates expanding the role in the future, or needs a BIA ready to take on a senior or management role, the job description often needs to specify expectations for extensive business knowledge, communication expertise and potentially relevant sector experience. .
Successful candidates will normally be expected to have post-graduate qualifications, eg
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