Global Head of Business Intelligence
London / £90000 - £130000
£90000 - £130000
Head of Business Intelligence
London - Hybrid
Up to £130,000
The Head of Business Intelligence will be responsible for bringing performance and progress data to life for an increasing number of schools, new users and evolving business intelligence requirements.
This rapidly growing and dynamic organisation have over 60 schools in their portfolio and plans to expand to 100-120 within the next five years, they are on an exciting journey of growth and development. They are dedicated to providing the best education to our students, and we believe that data and analytics play a crucial role in achieving that
- Ensure clear and consistent data requirements and ownership for end-user requirements
- Facilitate the process for setting and reviewing targets for non-financial KPIs
- Identify business processes and associated data sources for overall data requirements
- Design data products and business intelligence reports and dashboards for all stakeholder groups
- Develop insights from analysis of underlying data for decision making
- Manage evolving data requirements and collaborate with senior business leaders
- Lead a small team of BI professionals and mentor users of insight
- Ability to manage evolving data requirements and collaborate with senior business leaders
Skills & Qualifications:
- Excellent stakeholder management skills and experience in leading the use of data to create business intelligence
- Strong leadership and people development skills
- Ability to manage evolving data requirements and collaborate with senior business leaders
- Experience using Power BI as a tool for data analytics and insight
- Evidence of working in a decentralized global organization
If you are a strategic thinker with expert knowledge of PowerBI and a passion for driving business intelligence, then apply for this role via the link or reach out to me directly:
Why Business Intelligence Is More Important Than Ever In 2022 | Harnham Recruitment post
Business Intelligence is one of the oldest divisions of Data & Analytics. In 1958, Hans Peter Luhn published his (now) world-renowned article on ‘A Business Intelligence System’. This would later become the grounding for how Business Intelligence is understood and used in companies across the globe. Within this article, Luhn identified how technology could be used to cleverly analyse data instead of the process needing to be done manually. It is unlikely that Luhn could ever have comprehended how crucial his model for Business Intelligence would become. But with the creation of the internet in 1983 and its subsequent evolution, the amount of data produced which can be compiled and analysed is almost unfathomable – 2.5 quintillion bytes every single day. In 2020, there was 44 zettabytes of data in the world, and this is expected to increase to 175 zettabytes by 2025. While not all of this data will be used for analysis by businesses, a large percentage of it will be. By using specialist tools and technology, this treasure trove of information can be efficiently analysed and then transformed into digestible insights. From large corporations to smaller SMEs, Business Intelligence, data capture and analysis form the solid basis of decisions made by business leaders.Business Intelligence has been fast-trackedIn 2020, 54 per cent of businesses agreed that cloud-based Business Intelligence was vital to their success, compared to only 10 per cent in 2012. This vast increase has been closely linked with the coronavirus pandemic which swept the globe in 2020. As many businesses were forced to become online-first, the most streamlined process which enabled teams to continue working, creating, and selling efficiently was through the adoption of Business Intelligence tools, such as SaaS products, embedded analytics, and data visualisation. With the use of such tools, businesses have found their decision-making processes to be five-times faster. The future of Business IntelligenceThe Business Intelligence market is expected to hit record highs of $33 billion by 2025. While most firms have adopted some sort of Business Intelligence tool, it is expected that a third of large-scale organisations will take this one step further by 2023. AI, Machine Learning, and complex adaptive systems are suspected to be the next investment for the business giants of the world. In recent research undertaken by BI Survey, the three most important Business Intelligence trends expected to be seen in 2022 are data quality/master data management, data-driven culture, and data governance. All three areas point to two key messages: In 2022, businesses are looking to gain further access to good quality, reliable data to see a consistent trend of positive decision making. This in turn will improve audience and demographic understanding and ultimately help to drive more conversions. In 2022, the creation of a data-first culture will be the top priority for most business leaders. All members of staff, regardless of job title, will be encouraged to understand and recognise the value of data and the role it plays in the success of the company. Both messages rely heavily on the implementation and evolution of Business Intelligence. From the easy compilation of huge datasets to the creation of easy-to-read, digestible information, which is accessible to the whole team, it’s clear that the need for Business Intelligence in 2022 will only grow. If you are interested in working within Business Intelligence, or are seeking BI specialists to help grow your company’s Data & Analytics abilities, take a look at our latest Business Intelligence jobs or get in touch with one of our team today who will be able to help.
Business Intelligence Is About Asking The Right Questions | Harnham US Recruitment post
You’ve dotted all the ‘Is’, crossed all the ‘Ts’. You’ve ensured your business priorities were aligned with your mission and objectives. But, how can you know if you’re on the right path, especially in light of today’s uncertainties. Your crystal ball may be in the cloud, but to find its clarity, you have to be asking the right questions. Below are three questions to consider moving forward.1. How Collaborative Are We?As businesses shift online and teams expand globally, collaborative business intelligence streamlines decision-making. A combination of BI tools, software, and social technologies to inform, engage, analyze, and form insights of what customers want and need.This form of collaboration takes decision-making out of its siloes. Not unlike the Socratic method, collaborative business intelligence solves problems through shared information to find common ground. Using business intelligence software to provide opportunities for predictive modeling, visual analysis of data and business metrics, businesses analysts can interpret and inform, in a more efficient streamlined process.2. How Secure is Our Data?Whether big business, small business, or medium business, no one is immune to cyberattacks. The ever- increasing rise of these attacks pinpoints just how important keeping data secure is for all businesses. Breaches cause not only monetary loss, but ultimately, consumer trust leading to more loss. The importance of Data security cannot be overstated. Now that a majority of businesses are making flexible and remote work options available, it’s imperative businesses work to keep data secure. Consumers today are much more concerned today about how and why their Data is used, and many may decline to offer it, not wanting to put themselves at risk of a possible cyberattack. 3. What’s the Best Platform to Drive Actionable Insights from Our Analytics?Much like the trend of collaborative BI, businesses are focused on combining business processes and workflows into one platform, so everyone has access to the same Data. It’s within these platforms, that businesses cannot only determine what action to take and implement those actions all in one place.Platforms become the hub of the wheel and the spokes are analytics of a particular industry, business, or department in which insights can be implemented. Some platforms on the move include Sisense and Sharepoint. Google Analytics Intelligence (GAI) might be the most well-known especially if you’re just getting started asking the right questions for your business. If you want insight into the state of your business, know any major consumer traffic changes, or want to know the probable conversion rate of web browsers to customers, GAI can help you get those answers. Because it uses machine learning to help, it’s important to know not necessarily what questions to ask, but how to ask them.How to Ask a Computer the Right QuestionsIf you’ve been working in a collaborative BI team and asking each other questions based on the data you’ve collected, it may be a bit of a mindset shift for asking questions of a computer. So, how you phrase your question, what you want to know, and how you ask may require a bit of thought to find the answers you’re looking for.Below are a few guidelines to consider when posing the questions.Follow the TrendIf you want to know what’s trending in your business, you might ask: How many products were sold last week?How many customers did I have today?Where are my customers located?What time were the most customers shopping? Which is Best?When you want to know what product is selling the most and through which means. Follow the performance. These questions might include:Which channel converted the most customers?Which product sold the most? Which product sold the least?Which hour was best for customer traffic?Compare and ContrastThese are questions or commands that enable you to compare two sets of data side by side, such as how your business performed week to week, day to day, or year to year.While most questions begin with ‘which’ or ‘how’, the compare and contrast questions can get a bit more complex. In these questions, you begin with what you want to know such as conversion rate, revenue shares, traffic, or trend. As this year comes to a close, what questions will you ask of yourself? Are you ready for a change? A new role? If you’re a business, what questions will you ask to move your company forward in the new year?If you’re interested in Big Data & Analytics, we may have a role for you. Check out our business intelligence jobs or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 – 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
How Data-Driven Strategy Can Save Your Business Money
How data driven strategy decisions can save your business money
As business deliverables grow and budgets are rolled thinner, efficiency is the word of the moment. In any economic climate it's crucial that business operations are functioning as efficiently as possible and that every decision is underpinned by a business rationale.
However, as we move into a period of uncertainty – with a global recession looming on the horizon – ensuring that strategic business decisions are grounded in data becomes ever more pivotal. As a business leader there will always be factors outside of your control – that comes with the territory – but taking time to ensure that you have a good understanding of the elements you can influence will place you in the best possible position for navigating the parts you cannot.
As the old adage goes, ‘information is power,’ and the more of it that you can glean from your business processes, the better scope you'll have for achieving success and cost savings. Consider launching a new campaign or product; you wouldn’t just assume that it has gone well. You would instead look to track its real-time progress towards its intended goal via tangible KPIs. The same goes for any strategic decision. You’d want to know that the data supports your choice. So where is data most useful?
The enemy you know...
When faced with uncertainty, it can be tempting to bury your head in the sand and hope it goes away. But the reality is that it is always better to know what you are dealing with. Now is the time to reaffirm your grasp of your business’ operations and gather any insights, positive or negative, that may help you to plan ahead. Consider each element of your organisation and review the information that may help you to identify areas for improvement. With enough intelligence in your weaponry, you can be clearer on whether parts of your business may be more vulnerable to fluctuation and how you are likely to be affected by the economic climate.
For instance, if you are involved in the provision of a product or service, consider each stage of your supply chain. Pull in all relevant figures around your suppliers and outgoings and consider if there are any gaps in your understanding or areas lagging behind. Methods such as supply chain management have enormous potential for improving operational efficiencies and in turn costs.
Taking a data-driven approach allows you to better predict production and inventory changes closer to real-time, and usually involves the use of technologies. For example, Artificial Intelligence (AI) and Machine Learning (ML) models powered by supply chain data, log data and third-party sources can help improve the supply chain by identifying data patterns, then forecasting potential outcomes. What’s more, AI and ML models can create forecasts that have different confidence levels, informing supply chain leaders how likely the forecast is.
Holding a mirror up to your business
No matter the purpose of your organisation, cash remains king. And with 25 per cent of businesses failing due to cash flow, it’s more important than ever to have a solid understanding of how it contributes to your business.
For your business to continue to perform its intended function, it needs to remain profitable. But that doesn’t just mean making shedloads of money (although that won’t hurt), it's about making sure that those funds are being funnelled to the right place at the right time.
Cash flow refers to the movement of funds through your business. It can be affected by anything from tax deadlines to funding partners – in essence, anything that changes, halts, or facilitates the flow of money through your organisation. The health of your cash flow controls your every ability, including being able to offer competitive salaries and retain staff.
Where data and analytics can help is by providing strong visibility into the sources and uses of your cash, diving deep into your transactions and establishing how both ends of your supply chain are coping.
Business Intelligence (BI) and analytics software can automate cash flow analysis and provide tools to consolidate data, simplify cash flow planning, and accelerate decision making. The aim is to provide more accurate financial figures and take the guesswork out of the cash flow analysis process.
Maintaining a clear picture of your income and outputs will better enable you to make strategic decisions about your business that save money, but also to manage the unexpected. Being aware of pain points is just as important as recognising successes. For instance, if you know that a supplier is going to increase their rates in a way which will impact your Q1 budget, you may decide to delay your hiring drive until costs level out.
Data’s answer to a crystal ball
Forecasting is arguably where all of this data gains real business relevance. Forecasting is a process of estimating future events based on historical and real-time information by analysing trends. The more information that you can build into your forecasting, the more useful and accurate it will be. Knowledge such as upcoming price increases, internal staff changes and new legislation will all be crucial to informing your strategic decision making and ensuring you are not caught by surprise.
To use a price rise as an example; by combining information about the impact that an earlier increase had on a specific department in the business with real-time data such as current staffing and capacity, you can anticipate what the business implications of an upcoming rise might be.
And there are tools able to dig deeper still – predictive modelling can estimate more granular, determined outcomes using data mining and probability. Essentially enabling you to ask more ringfenced questions from specific data sets.
By choosing a desired outcome, such as the purchasing of a specific service, the model works backwards to identify traits in client data that have previously indicated they are ready to make a purchase soon. Predictive modelling runs the data and establishes which of these factors contributed to the sale – knowledge which can then be built into the decisions you make about your service offering.
Ensuring that decisions are grounded in data has always been pivotal for business profitability but as we face a period of economic downturn, it may be worth moving it higher up your priority list.
Looking to inject greater insights into your business with talented data professionals? Speak to one of our experts today.
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