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Data and analytics strategy

Developing a data and analytics strategy to drive business value, cost savings and growth

The world is becoming progressively more digital. So generating insight and business value from new and existing data and information sources – and using them to drive business performance – is increasingly essential for business growth and success.

But to do this effectively requires the right data and information foundations. This is why many organizations choose to develop a data and analytics strategy (also known as an information management strategy). 

As with most transformative change, realising the true potential of your information assets requires

  • Data and analytics strategy: Developing a strategy to put in place all the data capabilities needed (see framework below) to enable your organization to drive insight and business value from data; and
  • Data and analytics delivery: Executing your strategy, and using those data capabilities effectively to drive insights from your data (be that through basic reporting; business intelligence (BI); or advanced predictive, prescriptive and automated analytics) and using those insights to drive business performance and growth.

In some businesses, supplying evidence of a clear enterprise data and analytics strategy for internal audit is becoming mandatory. However, many organisations struggle to get to grips with their data strategy, finding the topic too broad, too nebulous to define, or too difficult to assign to executive ownership.

What I like about Berkeley is: encouraging us to adopt a methodology and solution that’s right for us rather than trying to force one upon us. Not that Berkeley compromise to appease the client — there’s still quite a bit of good, healthy challenge when working with them.”

Chief Information Officer, a consumer goods company

Data analytics consulting services: our data strategy framework

We have developed a tried and trusted framework to help organizations think and work through the six areas we believe are key to developing a strong data and analytics capability. However, every business is different so we don’t believe in a cookie-cutter, once-size-fits all approach. We’ll work with you to understand how this can best be applied to your business, and where to adapt it as needed.

Infographic: the six components of a data strategy

Data analytics consulting services: realizing the untapped potential of your data

The untapped potential in data is greatly increased by the availability of, and the processing power to analyze, new data sources from both within the organization (e.g. detailed data around how customers use your web site, and how and when they buy from you) and from outside it (e.g. social media sentiment, digitization of everyday consumer behaviours, the Internet of Things, competitor and market share data, data from third party logistics providers, and geospatial data such as weather).

Unlocking the possibilities of your data

Many organizations believe there’s significant untapped value in their information assets that could be used much more effectively to drive business performance. This could include significantly improved insights in areas such as the five subjects below.

  1. Customers and customer behaviours: Leading to more effective customer relationship management and customer service, with a greater ability to cross-sell and up-sell.
  2. Profitability and cost to serve: Enabling greater focus on the product or service variants, pricing, promotions and sales channels that have the most potential to drive revenue and margin growth.
  3. Sales, operations and financial planning: With significantly improved ability to accurately forecast; align cross-functional, integrated plans; do ‘what if?’ scenario modelling; and predict what approach will drive the best business outcomes.
  4. Operational excellence: Highlighting the previously unrealized opportunities for efficiency gains and cost reductions.
  5. Innovation: Understanding how customers use and interact with your products and services, and greater insights on what innovations customers really want and would pay more for.

Data and analytics strategy consulting: deep experience

We’ve worked with many of the world’s leading companies to develop their data and information management strategies. As we also work on data and analytics delivery, we don’t believe in ivory-tower, abstract strategies that look fine on paper but fail the first test of implementation. Rather, we create practical and actionable strategy, supported by a clear implementation roadmap and investment case. All of this will transform your business into a properly insights-led, data-centric organisation.

We can help you balance and combine resolving the data and reporting issues of today, with exploiting the value of modern analytics that will future-proof your business for tomorrow – two goals that can be seen as conflicting in many organizations.

Data and analytics strategy consulting: a partnership approach

As with all our strategy work, our ‘low volume, high value’ model means we won’t overwhelm with large teams or take months to produce results. Typically only using one or two highly experienced and high caliber people, we work closely as an integral part of your team. We combine our data strategy ability, experience and insights; our understanding of ‘what good looks like’ in terms of the outputs; and the ability to drive a strong, collaborative strategy development process. 

But we’ll never force through a rigid process, think we understand your business better than you do, or bring a one-size-fits-all cookie cutter answer. Doing the work ‘with you, not to you’ in this way gets to results that have real ownership and buy-in.

Many organizations realize that good data and analytics are essential for insights that drive business value and performance in the digital era. A good strategy provides the foundations to make the most of your data, and drive results from your investment in business intelligence and analytics. We can help you develop a practical and comprehensive data strategy to unlock your information’s potential.””

Jon Bradbury, Partner

Clients often ask us…

Question 1

What is a data and analytics strategy and why does every business need one?

Question 2

Data and analytics is such a broad topic that impacts every business function so how can I explore expanding our capability in a manageable way?

Question 3

How do we get clear accountability and traction with a meaningful data and analytics strategy across the business?

Question 4

How can I gain insights and value from data and use it to help me achieve my business goals?

Question 5

What’s the best way to create a governance framework for data?

Question 6

How do I best organize my people for data and analytics, and what skills do I need?

Question 7

How do I manage my organization’s end-to-end data lifecycle?

Question 8

How do I create an operating model that supports the collection, management, use and storage of data to help me gain real insight and mitigate risk?

Question 9

How can I use data to help me innovate and remain competitive in my market?

Lead Partner

Jon Bradbury, Partner