How to Align Your Data Team with Business Goals and Drive ROI 

How to Align Your Data Team with Business Goals and Drive ROI 

How to Align Your Data Team with Business Goals and Drive ROI 

Organisation across industries – especially in financial services and manufacturing – are investing heavily in data teams, platforms, and tools. 

The expectation?  

Faster decisions. Operational efficiency. New revenue opportunities.  

The reality?  

Many data teams are not aligned with business goals and fail to deliver measurable ROI.  

If you’re in a hybrid role, business leadership, IT management, or a data leadership position, this post will show you how to close the gap and turn your data function into a business value engine.  

Download our 2025 Guide to Data Innovation 

Discover how forward-thinking organisations are embedding data into business strategy – and how your teams can lead the way.  

Common Signs of Misalignment and Low ROI 

Wondering if your data team is aligned with business priorities? 

Look out for these symptoms:  

  • You have dashboards, but no decisions. 
  • Request backlogs keep growing, but prioritisation is unclear. 
  • Business users complain about speed, relevance, or understanding. 
  • Data quality is still a sticking point. 
  • You can’t tie recent data work to commercial outcomes.  

If any of these are familiar, your team might be focused on outputs, not outcomes.  

Cause #1: Lack if Join Ownership Between Data and Business Teams 

Data teams often operate reactively, responding to tickets without a strategic context. 

Meanwhile, business functions can’t always articulate what data they need or how to prioritise it.  

This leads to:  

  • Frustrations on both sides 
  • Wasteful analysis 
  • Low stakeholder trust 

Fit it: Create Shared Road Maps 

  • Embed analysts or product owners within business units 
  • Define success in business terms: revenue, efficiency, risk reduction 
  • Make joint planning a regular rhythm – not a once-a-year workshop. 

This works especially well in hybrid teams bridging digital, product, and operational goals. 

Cause #2: Technical Bottlenecks Block Strategic Progress 

Siloed data, outdated platforms, and undocumented systems can leave your best analysts spending most of their time on prep – not insight.  

This frustrates both data and IT teams and slows down business agility. 

Fix it: Invest in Reusable, Scalable Data Infrastructure 

  • Modernise pipelines with automation and observability 
  • Prioritise documentation and standarised access layers 
  • Build once, re-use often – to service multiple business use cases faster.  

This enables IT and Data teams to shift from firefighting to value delivery. 

Cause #3: Insights are Lost in Translation

Even when good analysis is produce, it often doesn’t land.  

Why? 

  • Business users don’t trust or understand the output 
  • Stakeholders don’t hear the story behind the data 
  • Analysts aren’t trained to influence or engage 

Fix It: Train Teams in Communication, Not Just Analytics 

  • Make data storytelling and stakeholder management part of team development. 
  • Build internal success stories that show how data delivers real value. 
  • Present results in language of commercial impact – not just technical completeness.  

This is especially vital for business-focused leaders who need clarity, not caveats. 

 

Cause #4: No Clear Link Between Data Work and Business KPIs 

Too many teams are still rewarded for delvierables – not value.  

  • Dashboards and reports are launched, but usage is low. 
  • KPIs are activity-based, not outcome-based 
  • There is no tie to business OKRs or strategic metrics. 

Fix it: Reframe Data Success Around Business Outcomes 

Ask: 

  • Did this insight influence a decision? 
  • Did it lead to measurable commercial benefit? 
  • Can we show an impact on revenue, cost, or risk? 

Make sure data KPIs are aligned with strategic priorities, not spreadsheets.  

Cause #5: Missing a Strategic Data Partner 

Your internal team might be talented, but they’re often stretched thin, juggling both BAU and transformation. 

Worse, many external parters offer little more than resource augmentation – not strategic momentum.  

Fix it: Partner with a Team Who Can Challenge, Accelerate, and Deliver 

Look for a data consultancy that can:  

  • Build your internal capability, not just dashboards 
  • Align delivery with commercial objectives. 
  • Bring proven models for scaling innovation across functions.  

The right partner should work with your team, not around them – and help you turn data into a profit centre.  

Understand more about the right data partner.

Read this blog post and learn the 10 tips for choosing the right data consultancy.

From Data Delivery to Business Impact 

The pressure to prove ROI on data investments is only increasing.  

But the answer isn’t more reports or tools – it’s alignment.  

To truly deliver value: 

  • Rethink how your data teams are structured. 
  • Build stronger business data partnerships. 
  • Shift the focus from reporting to results.  

Bridging the gap between data capabilities and business prioritise, you empower your teams to move beyond service delivery and into strategic value creation. 

Whether you lead transformation, IT, data, or commercial strategy, the opportunity is the same: turn your data function into a driver of measurable growth. 

Ready to see what’s possible?

Let’s Talk!  

In a 30-minute Data Innovation Session, with you, we will explore how you can unlock real value from your data to drive innovation within your business. 

Why Innovation Fails Without the Right Data Partner 

Why Innovation Fails Without the Right Data Partner 

Why Innovation Fails Without the Right Data Partner

Innovation is the lifeblood of every forward-thinking organisation. It promises growth, differentiation, and futureproofing in a world that moves faster every quarter. 

But while the ambition is clear, the results often fall short. 

Why? 

Because innovation doesn’t fail at the idea state – it fails in execution. And often, the missing like is data. 

The Innovation Trap: When Good Ideas Go Nowhere

It’s easy to generate ideas. 

What’s hard is turning them into scalable, sustainable solutions that work in the real world – across departments, systems, and compliance frameworks. 

Many innovation programmes fall into one or more of these traps: 

  • Data isn’t ready: Poor quality, hard-to-access, siloed, or non-existent. 
  • Internal teams are overstretched: Innovation becomes ‘side-of-desk’ work. 
  • Pilots don’t scale: What works as proof-of-concept doesn’t survive enterprise requirements.  
  • Misaligned goals: Business and technical teams have different definitions of success.

The result? Missed deadlines, loss of internal confidence, and another item for the post-mortem deck. 

Why Data is the Real Innovation Enabler

You can’t innovate if you can’t trust your data, access it quickly, or act on insights reliably. 

Too many organisations jump into innovation projects with a thin foundation. They’re excited about AI, automation, or customer personalisation – but the building blocks are missing:  

  • Engineering to pipe, clean, and serve data where it’s needed. 
  • Governance to ensure compliance and traceability. 
  • Analytics that go beyond dashboards to drive decisions. 
  • Integration with real business processes. 

Innovation without a solid data backbone is like trying to build a skyscraper on sand. 

Download our 2025 Guide to Data Innovation 

Discover how forward-thinking organisations are embedding data into business strategy – and how your teams can lead the way.  

What the Right Data Partner Brings 

A strategic data partner doesn’t just fill a resource gap – they accelerate momentum and reduce risk.  

Here’s how:  

1. Capability on Demand

From data engineers to analytics specialists, the right partner brings the skills you need when you need them – without lengthy hiring cycles or knowledge gaps. 

2. Accelerated Delivery 

No more waiting 6 months for internal alignment. An experienced partner brings proven frameworks, tools, and approaches to get value faster. 

3. Collaboration – Not Handover 

The right partner works with your teams, not around them. They co-design with your business and tech leaders to ensure initiatives land and scale. 

4. Scalability Built-In 

Partners focused on sustainable delivery don’t just build pilots – they build data products and platforms that grow with you. 

Understand more about the right data partner

Read this blog post and learn the 10 tips for choosing the right data consultancy.

5 Signs You Might Need a Better Data Partner 

Not sure if your current setup is holding innovation back? 

Look for these red flags: 

  • Your pilots never make it to production 
  • You’re constantly firefighting data issues 
  • Your analytics don’t lead to action 
  • Every partner needs weeks to understand your domain 
  • Your board is questioning the ROI of innovation 

What to Look for in the Right Data Partner 

When choosing a partner to support your innovation agenda, look beyond CVs and buzzwords. Ask: 

  • Do they understand our industry and speak our language? 
  • Can they flex between strategic advice and hands-on delivery? 
  • Do they prioritise outcomes over billed hours? 
  • Will they work with us to build long-term capability, not just short-term fixes? 

At Engaging Data, we bring data to life for ambitious businesses and leaders by delivering innovative solutions aligned to your goals.  

Final Thoughts 

Innovation doesn’t fail because of bad ideas. 

It fails because the execution engine isn’t ready – and that engine runs on data.  

If your data foundation is weak or your delivery partner isn’t pulling their weight, even the best innovation roadmap will stall. 

But with the right partner, you can turn ideas into impact – faster than you think. 

Ready to see what’s possible?

Let’s Talk!  

In a 30-minute Data Innovation Session, with you, we will explore how you can unlock real value from your data to drive innovation within your business. 

How Leaders Are Turning Data into Competitive Advantage in 2025 

How Leaders Are Turning Data into Competitive Advantage in 2025 

How Leaders Are Turning Data into Competitive Advantage in 2025

Why Data Innovation Can’t Wait Until 2026

In 2025, data innovation is no longer optional – it’s a business imperative. 

Many organisation have spent years investing in data infrastructure yet still struggling to generate tangible ROI.  

The reason?  

Legacy systems, fragmented data strategies, and a lack of innovation. 

The gap between data-driven enterprises and those falling behind is accelerating – and the cost of inaction is rising. 

The High Stakes of Data Inaction 

Why Outdated Data Strategies are Putting Businesses at Risk 

If your organisation is relying on outdated, static, or siloed data, the risks go far beyond inefficiency.  

Failing to innovate comes with real business consequences: 

  • Slower decision-making: Without real-time data insights, your teams can’t respond to market shifts or emerging risks in time. 
  • Compliance and regulatory exposure: new regulations, and upcoming AI laws are raising the bar on data governance.  
  • Operational drag: Legacy technology and poor data quality slow down your teams and limit your ability to scale. 
  • Missed AI opportunities: As artificial intelligence becomes mainstream, organisations without strong data foundations will fall behind.  

Data is no longer just an asset – it’s an engine of innovation and survival.  

2025: The Tipping Point for Data-Driven Organisations 

What’s Driving the Urgency to Modernise Now? 

The pressure to act is being driven by four major tends:  

1. AI Everywhere – But not for Everyone

Artificial intelligence is embedded across business functions. From customer service to product design, AI is transforming operations – but only for those with the right data foundations.  

S#!T data = S#!T AI. 

If your data is outdated, unstructured, or inconsistent, AI won’t deliver results. Instead, it will amplify your weaknesses. 

2. Real-Time, Embedded Analytics

Static dashboards are no longer enough. 

The future is embedded analytics – delivering insights within everyday workflows to empower faster, data-informed decisions across every function.

3. Compliance, Governance, and Ethical AI

The regulatory landscape is tightening.  

Organisations must now demonstrate strong data stewardship, transparency in AI models, and full compliance with evolving privacy and governance frameworks.  

4. Cloud-native Scalable Architecture

Businesses are moving away from inflexible, on-premise infrastructure. 

Cloud-native platforms and data fabric architectures offer the agility and scalability needed for real-time data streaming and AI integration. 

What Happens if You Don’t Innovate?  

The Real Costs of Delay 

Failing to modernise your data strategy in 2025 will impact: 

  • Compliance: Hefty fines and legal consequences from data misuse or lack of governance.  
  • Relevance: Losing out to agile, AI-native competitors who can pivot and scale faster. 
  • Resources: Wasted spend on outdated tools and infrastructure that can’t support innovation.  
  • Talent: Difficulty attracting top-tier professionals who expect a modern, data-savvy workplace.  

Standing still is falling behind.  

What You Can Do Today: Start with the Right Role-Based Strategy

Practical Data Innovation Starts with Leadership – and Clear Action Plans 

That’s why we have created the 2025 Guide to Data Innovation – a comprehensive eBook to help you turn strategy into execution, tailored to your role.  

Inside the guide, you’ll get job-specific recommendations for:  

  • Data-Focused Roles: The architects of data-driven success 
  • IT-Focused Roles: The backbone of data-driven innovation 
  • Business Focused Roles: Turning data into your competitive advantage 
  • Hybrid & Cross Functional Roles: Bridging the gap between data, IT, and business 

Download our 2025 Guide to Data Innovation 

Discover how forward-thinking organisations are embedding data into business strategy – and how your teams can lead the way.  

Data Innovation is No Longer Optional

Be the Leader That Drive Change – Before You’re Forced to Catch Up 

Business leaders who act now will gain a long-term advantage.  

Those who delay? They risk their organisation becoming irrelevant. 

Modern and innovative data strategies are no longer just about technology – they’re about agility, compliance, trust, and value creation. 

Start with your role. Start with the right questions. Start with our guidance.  

Book Your Data Innovation Session! 

In this 30-minute session, we’ll explore how you can drive efficiency, reduce costs, and uncover new growth opportunities by leveraging data in smarter ways.

Why Data Teams Must Lead Business Strategy 

Why Data Teams Must Lead Business Strategy 

Why Data Teams Must Lead Business Strategy

 

There’s a silent revolution happening in many organisations – one that will define whether they thrive or fall behind in 2025.  

For decades, data teams sat on the periphery. 

They were asked to report on performance, fix broken dashboards, and serve up stats when requested.  

But the business world demands more than retrospective reporting.  

In an economy shped by uncertainty, complexity, and disruption, data can no longer be confined to the back office.  

To compete – and to innovate – data teams but be central to the conversations about where the business is heading – not just where it has been. 

The Evolving Role of Data Teams 

Historically, the remit of data teams was narrow: extract, clean, visualise.  

The product was a report or dashboard handed off to business leaders to (hopefully) make the right decisions. 

But in 2025, that model no longer delivers the value or agility that businesses need.  

We’re now seeing a transformation in how modern data teams operate:  

  • From support function to value creators – shifting from reactive to proactive work. 
  • From siloed experts to embedded partners – working alongside commercial, operational, and product teams.  
  • From insight generators to strategic enablers – helping shape the decisions that drive growth. 

This is not simply a shift in tooling or structure – it’s a transformation in mindset.  

Data is now viewed as a product, not a project.  

And data professionals are becoming co-owners of business outcomes, not just report providers.  

It’s no longer enough to ‘inform’ strategy. Data teams now have the mandate to shape it.  

Why Data Talent Belongs at the Strategic Table

Too often, strategic decisions are made without the full picture.  

Assumptions, intuition, and legacy thinking creep into the boardroom – not because of malice, but because data voices weren’t in the room early enough. 

Thats a missed opportunity.  

Because when data professionals are included from the outset, they bring: 

  • A full-spectrum view across customers, operations finance, and product. 
  • Evidence-based thinking that reduces bias and rigor. 
  • Scenario modelling that helps forecast outcomes, not just track them. 
  • Systems-level insight that connects dots others don’t see. 

And most importantly, they ask better questions.  

We’ve seen firsthand how this changes the direction of major initiatives.  

From whether to enter a new market, to which customer segments to prioritise, to how to price a product – strategic choices are simply stronger when grounded in data.  

But this isn’t just about inviting data leaders into meetings. It’s about empowering them to contribute, challenge, and co-create strategy.

Real-World Examples of Data-Led Innovation

Across sectors, data teams are becoming the unexpected drivers of innovation and strategic clarity.  

Here are just a few examples: 

Food Manufacuring – Transforming Financial Reporting

Our client faced challenges in consolidating financial and sales data across multiple business entities.  

We were brought in to design and implement a centralised data solution that would streamline reporting, improve data accuracy, and establish a self-service reporting framework. 

Want more infromation about how we transformed out clients’ financial reporting?

Read the case study.

Financial Services – Building a Robust Data Strategy

Our client needed a comprehensive data strategy, governance framework, and innovation solutions to empower their teams with data-driven decision making.  

Is building an innovative data strategy in your 2025 plan? Learn more about how we helped our client.

Read the case study.

Skills and Behaviours That Matter in 2024 

For data teams to play this elevated role, technical ability alone isn’t enough.  

The most valuable data professional in 2025 are those who can: 

  • Translate complexity into clarity – making insights accessible to non-technical audiences. 
  • Build trust with stakeholders – showing commercial empathy and reliability. 
  • Act like product owners – treating data solutions as long-term assets 
  • Thinking like strategists – understand the ‘why’ behind the business direction 
  • Collaborate across boundaries – engage with sales, operations, marketing, and more.  

Organisations must now invest in upskilling and culture change to enable these capabilities. Without this shift even, even the best tools and platforms will under-deliver.  

If you don’t have the capacity for all of this within your organisation. You could get some external help. 

Check out this blog post to guide your decisions. 

What This Means for Data Leaders and Business Executives 

If you lead a data team, this is your moment to lean in.  

Strop waiting for permission to join the conversation. (Just send your exec’s this blog post, it’ll do the hard work for you!) 

Show your value by aligning with the business’ most urgent priorities – frame your work in terms of impact, not just output. 

If you’re a business or technology executive, ask yourself:  

  • Are your data teams seen as strategic partners – or service desks? 
  • Do they have content on your long-term goals and access to decision-makers? 
  • Are you investing in the skills they need to step up? 

Because the truth is simple: you won’t succeed in digital transformation, AI adoption, or customer experience without your data teams leading from the front.  

Conclusion: From Reporting to Reimaging the Business 

 

The gap between strategy and data is narrowing – and that’s a good thing!  

In 2025, the most successful organisations will be those where data is not an afterthought, but a strategic compass.  

This means building data teams with the confidence, skills, and mandate to lead.  

It means creating space in the boardroom for evidence, experimentation, and curiosity. 

And it means recognising that the future isn’t just data-driven: it’s data-led.  

Download our 2025 Guide to Data Innovation 

Discover how forward-thinking organisations are embedding data into business strategy – and how your teams can lead the way.  

Business Development Manager at Engaging Data

Business Development Manager at Engaging Data

Business Development Manager

FULL TIME | HYBRID

Apply Now

Want to apply? Send an email to careers@engagingdata.co.uk with an introduction and CV attached.

Role Outline

As a Business Development Manager at Engaging Data Limited, you are responsible for driving growth by identifying new business opportunities, building client relationships, and expanding our market presence.

This role is ideal for someone with a passion for creating innovative technical solutions and a strong commercial mindset.

At Engaging Data, a Business Development Manager is not just a salesperson – they are a strategic growth enabler who helps the consultancy scale sustainably, stay competitive, and deliver more value to clients.

 

Key Responsibilities

  • Lead Generation & Prospecting: Identify and qualify new business opportunities through market research, events, networking, and outreach.
  • Client Engagement: Build and maintain strong relationships with prospective and existing clients, understanding their data challenges and aligning our services to meet their needs.
  • Proposal Development: Collaborate with technical teams to craft compelling proposals, presentations, and RFP responses.
  • Negotiation Skills: Communicate clearly, demonstrate patience and understanding of the client’s requirements, and persuasively present a proposal and service offerings.
  • Sales Pipeline Management: Own and manage the sales pipeline using CRM & innovative tools that enhance workflow, ensuring accurate communication, documentation, forecasting and reporting.
  • Partnership Development: Identify and develop strategic partnerships to enhance service offerings and market reach.
  • Market Intelligence: Stay informed on industry trends, competitor activities, and emerging technologies in the data space.

Impact

The Business Development Manager contributes to the overall growth of the company by ensuring that:

  • Do What is Right: Drives revenue by generating new business and expanding the client base. Their efforts help diversify income streams and reduce reliance on a small number of clients.
  • Work Together: Market expansion by exploring new industries and regions, helping the consultancy grow beyond its current footprint. They also build strategic partnerships that open additional channels for growth.
  • Keep Learning: Gathering client feedback and market insights to shape and refine offerings. Their awareness of industry trends and competitors helps the company stay ahead of the curve.
  • Champions Creative Solutions: Strengthens brand positioning and service offerings by enhancing the company’s visibility through thought leadership and client engagement. Building trust, turns clients into long-term partners and advocates.
  • Embrace Change: Enhances operational efficiency through accurate sales forecasting, enabling better resource planning. They also foster cross-functional collaboration, ensuring alignment between sales, marketing, customer success & technical delivery teams.

How does your role contribute towards Engaging Data’s core services

The BDM acts as a translator between client needs and technical solutions, ensuring Engaging Data’s core services are positioned as essential, high-value offerings. They don’t just sell services—they shape how those services are understood, scoped, and delivered.

Please note: We do not accept Agency or Recruitment companies or candidates who can’t work in the UK or require sponsorship.

Apply Now

Want to apply? Send an email to careers@engagingdata.co.uk with an introduction and CV attached.