Hiring a BI Manager – Trends and Challenges

Ross Whatling our consultant managing the role
Posting date: 7/6/2016 10:07 AM

With all the talk of big data and data science being able to predict what colour shirt I will buy in four years’ time (probably white or blue for those who don’t know me!), effective business intelligence is sometimes passed by or considered old news.

The reality is that companies are realising that they can get much more from their business intelligence and are changing their strategies to deliver interactive, insight-driven and visualised reports. Not every data-driven decision needs machine learning algorithms behind it, and quality business intelligence enables all managers to be effective decision-makers. These strategies are creating some obvious trends in the market, resulting in a change in expectations when hiring a BI Manager.

Key BI Trends

Data Visualisation – Companies of all sizes are implementing Qlikview and Tableau (amongst many other tools) to create attractive, interactive visualisations, to harness intelligence, in a way that will capture attention in a presentation. Insight Driven - A BI professional can’t simply develop automated reports anymore. Analysts are often required to offer suggestions for business change and present insight to decision makers. Hands-on Management – BI managers and even heads of business intelligence are expected to keep coding well into their management years, with the logic that problems can be spotted quicker when they are in the trenches, coupled with strategic and line management work.

Data Ambassadors – BI professionals are becoming door-to-door data sellers, coaching teams in a business on the benefits of using data to optimise their teams and decisions to save or bring in more money. Heads are in the Cloud – Companies are using cloud-based data warehouses such as Redshift to save on storage costs, whilst creating a centralised data warehouse for BI.

Alternative Data Sources – Companies are looking to use the web and social media data, alongside numerous other sources to generate deep insights for managers.

The BI Manager Effect

I am completely sold that all of these features represent the future of business intelligence. The few companies that are doing all of the above well enough, are doing advanced work in the area and these companies will be leveraging big commercial gains from their business intelligence teams.

The problem is that only a few businesses are doing all of the above, so only a handful of professionals have the relevant experience, and as a result expect top dollar to bring all of those skills. Therefore, it is prudent to be flexible with your hiring requirements.

Look for a bright, passionate candidate, who can readily grasp the shift in business intelligence trends, and is keen to plug skills gaps. An enthusiastic business intelligence professional will get up to speed with whatever they were missing. Don’t be too quick to dismiss those who are not ready-made BI managers on paper.

Message to Candidates

For all aspirational or existing business intelligence managers and leaders, I would advise you try to stay hands on as long as possible. I know some of you dream of never seeing a line of SQL code again, however, the trend in hiring for hands-on business intelligence management positions means that keeping your tech skills sharp will really keep your options open moving forward.

It would be great to hear your experiences, so please feel free to comment below on the trends you see in your business. Have you needed to remain hands on as you progress within your career? Or are you looking for a multi-skilled BI manager, and it is proving hard?

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Integrate Your Data And Business Strategies For Success

Why You Need To Integrate Your Data and Business Strategies

United we stand, together we fall. Not too put too fine a point to it, but how your business and data strategies align are integral to your business. Today’s world is about change, being able to pivot toward new strategies, and being open to trying new things. Consider this: the “mom-and-pop” shop is back and it is flourishing. Younger generations of farmers are returning to their family farms when they graduate and they’re bringing new knowledge with them. And the makerspace, freelance, and gig economies are thriving. These businesses are learning how to work with technology and align their Data Strategy with their Business strategy. Some legacy enterprises are taking notice. Others are missing the mark. Consumers may have changed how they want to shop and learn about services and products, but the services they want and expect haven’t changed that much which is why it’s more important than ever to “know your customer.”  3 Key Elements of Integrated Strategies While there are a number of things to take into consideration as you align your strategies, these three key elements can help get you started. 1. Understand the key elements of Business Strategy. 2. Apply innovation strategy to business objectives. 3. Determine key elements of your Data Strategy for use in a real-world scenario. Understand the key elements of business strategy  A business strategy encapsulates two main ideas; cost advantage versus competition. The cost advantage includes costs and other resources, identification and awareness of strengths, weaknesses, and competition. Competitive advantage happens when you’ve done your market research and can show what makes you different from any other provider with similar goods and services. This is the time you might perform a SWOT (strengths, weaknesses, opportunity, and threat) analysis of your business. It’s helpful to include your mission and vision statements, objectives, core values, risk tolerance, and understanding trends in your business. Apply Innovation Strategy to Business Objectives Ideas and innovation flow when you and your business understand your customers and are able to easily shift into new things. Think R&D into Bioinformatics, automated tasks into AI, or a platform such as streaming services to help sell services such as insurance. Laying the groundwork to apply innovation strategies to your business objectives follow these ideas: Identify your business objectives by asking questions.Assess the budget and personnel resources and develop a budget strategy.Test the market to determine what issues will or need to be solved and understand how this innovation will benefit your overall strategy. If you’re working on a Data initiative to integrate into your Business strategy, one of the key elements is to determine how those changes may affect your business. Determine Key Elements of Data Strategy for Use in Real-World Scenarios As you work on developing your Data Strategy, it’s important to consider all the elements required to ensure success. So, what do you need to take into consideration when working on this type of strategy? Here are some things to consider as you develop your framework. Determine your business needs and their current state.Determine what works and what can be improved upon if there is a technology improvement or process.Evaluate your Data from sales, profit, and evaluate your progress.}Develop an action plan. Many businesses don’t incorporate just one type of Data into their strategy. They consider the potential impact of technologies such as Machine Learning, Predictive and Data Analytics, and other Big Data Strategies to drive improvements when it comes to decision making. They understand these Data-driven insights can help them improve or solve their most critical problems. There is a caveat, however, and it is how you collect the information for real-world scenarios. Certain requirements are in place for a reason and they ensure only relevant Data is collected. This is done by formulating “predictive models” and necessary information to operate and determine whether your case will be something to be done over time or if it’s something brand new to consider when looking at real-time access. One Final Thought… Data-centric organisations have a distinct advantage over their competition. The information gained from collecting and analysing to understanding their customers can offer great insight as to what’s working and what isn’t. Integrating your Business Strategy with a Data Strategy can offer you a more well-rounded understanding of the customers you serve and can ultimately, help you to serve them better; now and in the future. Disruptive business models from this way of thinking can also foster growth and lead to innovative changes in your marketplace. If you want to be at the forefront of change we may have a role or candidate for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

Which data visualisation tools should you be using?

Which data visualisation tools should you be using?

There is no denying the ever increasing applications of Data visualisation tools for the modern business. Everyone is aware of them in a business environment, whether they are conscious of it or not. Personally I have been making use of data from a sales perspective long before I was conscious of the titles Business Intelligence and Analytics. Using a simple geo-mapping tool to visualise account locations and statuses, I then shared this with senior management and the sales team. A very simple but useful application, and a far cry from sticking coloured pins in a map! Visualising your options A new breed of data visualisation tools have become prevalent in recent years. Given the number of vendors, varied features and implementation costs, it can be difficult to know which ones to: A) Implement as a Business B) Become familiar with as a BI Analyst/Developer. The purpose of Business Intelligence visualisation tools is something everyone can appreciate. As for centuries people have used pictorial or graphical representations of data for it to be universally understood. The usage and investment in this part of a corporation’s BI platform seems to be ever increasing. According to the trustradius 2015 BI survey: Medium (101-1000) and large (1001+) size companies are most likely to invest in this area of their business in 2015- even more so than big data (Hadoop, Cloudera) and predictive analytics solutions (R, SPSS etc) How to stay in demandWhen talking to clients, particularly regarding new positions being created and growth of BI teams, visualisation experience is increasingly sought after. Sometimes this is to maximise existing tools and platforms, and often to help assimilate their usage into the new Business Intelligence solutions and maximise their use for end users across the business. There are many differences between vendors, but the ones I encounter being used most often are Tableau, Qlikview, Spotfire and the MS BI platform. They all have pros and cons depending on existing systems, data streams, usage plans and of course (and often most pertinent) budgetary issues. From a client perspective, there will be numerous contributory factors to consider when selecting which one to implement, however I think it is important to highlight you will never be able to attract all candidates with any one choice. There will always be analysts and developers with strong subjective preference for certain tools. The positives to take from this is that many BI professionals I speak to are eager to learn a new tool. Furthermore, the general consensus between talented analysts and developers seems to be that established skills are highly transferrable between top vendor’s product offerings. This view seems to be mirrored by hiring managers, not just in the larger corporations. Of course for certain companies, teams and projects, the skills focus will lean towards and include prior experience with a particular vendor’s product as a necessity. However, often, as long as the back end data warehouse and data stream experience is compatible, there is generally a level of flexibility when hiring. Who is using who?This sentiment also rings true with the type of job specifications we are seeing. There is both increased demand for visualisation experience and a degree of flexibility on the particular tools analysts and developers have used in the past. With regard to job type, as a general rule, spotfire seems to be the most favoured for visual analytics, Tableau for visual OLAP, Qlikview for data visualisation drilldown and the MS BI stack for back end Data visualisation which makes sense given its direct compatibility with SQL server databases. Are you on the right track?So the message for hiring managers seems to be to research the type of profiles you’re looking to bring into your BI team and focus your efforts on candidates with that particular skillset. And finally aim to get a handle on which tools are most compatible in terms of transferable skills and usability. With regard to BI professionals it is impossible to have experience with all of the BI visualisation tools out there, but the key is to prioritise the ones you know are most compatible with the industry you are hoping to work in long term. For example if you are keen to progress your career towards a BI manager role within a big 4 consultancy, and you’re finding the job specs focus on particular tools you have not used. Keep up to date through courses, webinars, conferences and media events. From all the BI and analytics professionals I have worked with (including Developers, Analysts, SAS programmers, Programmers, DBA’s and consultants) over 49% have used one of the top four vendors for visualisation and reporting. This is only set to increase in 2016 as the market consolidates, and conversely the proliferation of broader skills and experience won’t go to waste with the advent of new tools coming to market. What is your experience as a BI professional or someone trying to build a team? How do you view the suitability of particular tools with regard to the stages of the BI solution from Data Warehousing?

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