How to Fix the Most Common Data Issues Slowing Your Business Down 

How to Fix the Most Common Data Issues Slowing Your Business Down 

If Your Data Is Slowing You Down, You’re Not Alone 

In every sector – from global banks to mid-sized manufactures – we’re seeing the same pattern: 

  • Reports are inconsistent 
  • KPIs can’t be trusted 
  • Teams work overtime to make sense of data that was supposed to bring clarity. 

Sounds familiar? 

You’re investing in dashboards, platforms, and people – but your business is still second-guessing the data behind its biggest decisions.  

Here’s the truth: Data isn’t just a tech problem. It’s a business performance issue. 

The good news? It doesn’t have to be this way! 

 

The Data Problems Holding Back High-Performing Organisations 

Whether you’re leading a data transformation, delivering regulatory compliance, or launching a new data initiative, there are 3 common data challenges that repeatedly slow down growth and decision-making. 

 

1. Poor Source Data Quality

Your data warehouse or BI tool is only as good as the data feeding it.  

When source data is inconsistent, incomplete, dupliaced, or stored in siloed systems, it introduces noise, not insight. 

This leads to confusion, rework, and time-consuming data cleaning that never seems to end!  

Rubbish in, rubbish out isn’t just a cliche – it’s a strategic risk. 

 

2. Lack of Trust in Reporting

If your sales team reports one revenue number, but your finance team reports another, it erodes executive confidence fast. 

The real problem isn’t the teams – it’s the lack of shared definitions, ownership, and alignment around metrics. 

When your business units operate in silos, your reporting layer becomes a battleground. It stops being a source of truth and starts being a source of contention. 

 

3. Reactive Data Management

Too many teams are stuck with firefighting data issues rather than proactively solving them. 

Manual patchwork solutions, spreadsheet fixes, and late-night reporting scrambles become the norm. 

This reactive approach leaves no space for strategic planning. Data scientists become data janitors. Analysts become report fixers. Innovation becomes a distant goal. 

How These Challenges Show Up in the Real World 

These issues don’t just impact dashboards – they ripple through the entire business. 

  • Delayed monthly closes because finance can’t trust the numbers. 
  • Inaccurate demand forecasting causes stockouts or overproduction. 
  • Regulators ask hard questions your systems can’t confidently answer. 
  • Missed commercial opportunities because the insights arrived too late. 

For business leaders, this creates frustration. 

For IT and data leaders, it creates burnout. 

For the company? It creates a massive risk. 

You Shouldn’t Have to Settle for Unreliable Data 

Let’s be clear: this isn’t the fault of your team or your tools.  

Most organisations haven’t had the time, space, or expertise to properly modernise their data foundation or innovate existing data processes. 

But settling for broken reporting, inconsistent KPIs, or slow innovation is no longer viable. 

Today, businesses move at the speed of data.  

And when your data infrastructure can’t keep up, neither can you, and the competition leaves you behind. 

 

So, What Does a Better Path Forward Look Like? 

At Engaging Data, we’ve delivered over 100 successful data transformation projects across various industries. 

The most successful organisations – no matter their size – don’t try to fix everything overnight. Instead, they follow a clear, strategic path. 

Here’s what they look like: 

Step 1: Clarity First 

Start with a discovery session that surfaces your real pain points – not just the symptoms. 

This isn’t about tech audits or quick fixes. It’s about understanding what your business needs to run better, faster, and smarter. 

Step 2: Build a Focused, Tailored Action Plan 

We co-develop a plan that aligns data improvements with your business priorities – whether that’s regulatory compliance, sales growth, customer insight, or operational efficiency. 

No generic frameworks. No one size fits all. 

Step 3: Fast-Track Impact and ROI 

By addressing core issues in your data pipelines, architecture, and governance, you unlock results quickly: 

  • Trusted reports 
  • Consistent KPIs 
  • Aligned departments 
  • Clear, confident decision-making.  

And because we’ve done this across multiple industries, we know how to deliver results without disruption. 

Real stories of Data Innovation That Delivered.

Discover how leaders transformed their data challenges into measurable outcomes – with Engaging Data by their side.

What Success Actually Looks Like When Data Works 

Imagine what your business could achieve with: 

  • One version of truth across all reports 
  • Dashboards that fuel decisions instead of raising doubts 
  • Data that anticipates problems instead of simply reacting to them 
  • Teams spend more time delivering insight than fixing reports.  

Thats what happens when your data works for you – not against you.  

 

What’s The Cost of Staying Stuck? 

Let’s be honest – these data issues won’t fix themselves!  

Without action, most organisations experience a slow erosion of confidence, culture, and commercial performance.  

Here’s what you risk by doing nothing:  

  • Wasted time and resources 
  • Missed opportunities from slow or wrong decisions 
  • Growing tension between departments over data ownership 
  • Leadership making decisions on instinct, not evidence 
  • Losing ground to competitors who are more data mature. 

 

From Overwhelmed Data Handler to Empowered Data Strategist 

There’s transformation waiting for you – one that moves your organisation from reactive to strategic, from confused to confident.  

You don’t need to rebuild everything. 

You just need to start with the right questions, the right priorities, and the right guide

Download Now

Take Your Next Step with Confidence

It’s time to unlock true value. Get the expert-backed Guide to Data Innovation.

Explore More Ways to Transform Your Data 

You might also be interested in: 

  • Our Services: Explore how we support you, from everything to strategy to optimisation 
  • Case Studies: See how we’ve helped other organisations overcome similar challenges. 

 

Final Thoughts 

The most successful organisations don’t have perfect data. 

They have data they can trust, aligned to their business goals, and delivered through a strategy that works.  

Let’s build that together. 

Book a Discovery Call

Start Innovating with Data in 2025

Ready to take the next step? Let’s talk!

In a 30-minute Discover Call, with you, we will understand your data challenges and goals, and how we can work with you to innovate.

Junior Data Engineer at Engaging Data

Junior Data Engineer at Engaging Data

Junior Data Engineer

FULL TIME | HYBRID

Apply Now

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

Please note: We can not support sponsorship for visa status. Candidates must be legally authorised to work in United Kingdom. No agencies.

Role Outline

The Junior Data Engineer at Engaging Data Limited supports the development, enhancement, and maintenance of data solutions used across internal and client-facing projects. This role is focused on building foundational coding skills, learning delivery best practices, and contributing to collaborative development teams. Working under the guidance of senior engineers, the Junior Data Engineer gains hands-on experience while ensuring data solutions are reliable, well-documented, and aligned with business and technical requirements.

 

Key Responsibilities

Development & Coding
  • Write clean, well-structured, and maintainable code for internal tools and client projects.
  • Contribute to the development of data pipelines, scripts, and integrations using Python/PSQL/TSQL/SQL and relevant tools/platforms.
Testing & Debugging
  • Assist in creating and running test cases to validate functionality and performance.
  • Debug and resolve issues in existing codebases with support from senior team members.
Documentation
  • Maintain technical & end user documentation to support code readability, maintainability, and future enhancements.
  • Contribute to internal knowledge repositories and project wikis.
Collaboration & Communication
  • Work closely with senior engineers, data consultants, and analysts to understand user needs and technical requirements.
  • Participate in code reviews, stand-ups, and planning sessions to ensure smooth collaboration and learning.
Learning & Growth
  • Continuously improve technical skills through training, peer mentoring, and practical application.
  • Stay updated on emerging data tools, script languages, and data engineering principles.

Skills

  • Coding Fundamentals: Solid grasp of core programming principles, control structures, and SQL/Python syntax. 
  • Framework Familiarity: Exposure to frameworks such as data pipelines, ETL/ELT, data warehousing and data lakes.
  • Data Handling: Basic understanding of SQL, data manipulation, and unstructured/structured storage. 
  • Database: Know how to use common databases like PostgreSQL or MySQL.
  • RDBMS: Basic experience with cloud services like AWS, Azure, or Google Cloud. Basic experience with on-premises services like PostgreSQL or MS SQL Server.
  • Problem Solving: Able to approach issues logically and troubleshoot basic errors. 
  • Collaboration: Comfortable working in team environments and learning from others. 
  • Communication: Clear, concise communicator with both technical and non-technical audiences. 
  • Adaptability: Willingness and ability to learn quickly and adapt to new tools and methods.

Impact

Junior Data Engineers support the scalability, reliability, and success of both client and internal projects by contributing to code quality and delivery efficiency. Their work frees up senior development resources, ensures continuity across technical initiatives, and helps build a sustainable development capability within the business.

  • Do what is right: Delivers clean, reliable code that meets quality standards and contributes to secure, maintainable data solutions, ensuring the technical integrity of both internal and client-facing solutions.
  • Work together: Actively participates in team development activities such as code reviews, stand-ups, and planning sessions, supporting collaboration across technical and non-technical teams.
  • Keep learning: Demonstrates a growth mindset by embracing feedback, refining skills, and staying up to date with emerging technologies and best practices in data development.
  • Champion creative solutions: Contributes ideas and experimentation to solve coding challenges, bringing a fresh perspective to projects and helping optimise workflows and technical solutions.
  • Embrace change: Adapts quickly to new tools, processes, and project requirements, building flexibility and resilience while supporting the continuous evolution of Engaging Data’s technical capabilities.

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

The Junior Data Engineer helps deliver on Engaging Data’s core services—implementation, insight generation, and support—by building and maintaining data-driven software solutions. Whether developing internal tools, data solutions, or analytics platforms, this role ensures foundational coding work is done reliably and efficiently to support wider project success.

Please note:

  • We can not support sponsorship for visa status
  • Candidates must be legally authorised to work in United Kingdom
  • No agencies

Apply Now

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

How Data-Driven Organisations Outperform Their Competitors

How Data-Driven Organisations Outperform Their Competitors

How Data-Driven Organisations Outperform Their Competitors  (And How You Can Too) 

In the business environment, being data-rich is no longer enough. 

Your competitors are using data to move faster, reduce cost, and make smarter decisions.  

And if you’re not? You’re falling behind – whether you realise it or not!  

Despite millions being poured into dashboards, analytics platforms, and AI pilots, many organisations still struggle to see meaningful ROI from their data investments. But some firms – across financial services, manufacturing, and beyond – are achieving real, measurable results.  

The Competitive Edge of Being Truly Data-Driven 

High-performing, data driven companies aren’t just ‘using data.’ They embed it into every part of the organisation. 

They make faster decisions, serve customers more effectively, and continuously identify efficiency gains others miss.  

They achieve: 

  • Shorter time-to-decision 
  • Higher operational agility 
  • Improve customer experiences 
  • Better ROI on tech investments.  

And perhaps most importantly – they stay ahead of competitors who are still stuck analysing what went wrong, while they’re acting on what’s next.  

If your data strategy isn’t delivering outcomes like these, the stakes are real: 

  • Wasted budgets on disconnected tools 
  • Frustrated teams with low confidence in reports 
  • Opportunities missed while others move faster. 

This isn’t a technical problem. It’s a strategic one. 

Want more insight on how to become an innovative data-driven company?   

Learn more about our tailored services for your specific problems. 

What High-Performing Firms Do Different.  

At Engaging Data, we work with forward-thinking ambitious leaders. The organisations delivering the biggest wins from data all share three critical behaviours.

 

1. They Treat Data as a Strategic Asset – Not Just an IT Project

In underperforming companies, data is often siloed within IT or analytics teams, far removed from commercial decision-making. In contrast, innovative data-driven firms embed data into the heart of the business. 

Their executive teams actively engage with data strategy. KPIs are clearly tied to commercial goals. Sales, operations, customer service – all departments are enabled to make data-informed decisions, not just generate reports.  

2. They Fix the Foundation Before Scaling Innovation

Everyone wants to talk about AI and predictive models – but the top performers start with the basics.  

They clean up messy data, integrate fragmented systems, and implement robust governance.  

They know that the flashy tools won’t deliver value unless the data is trusted, accessible, and aligned with business needs. These firms invest in data foundations because they understand that innovation built on bad data will always underperform. 

3. They Build for Enablement, Not Just Reporting

Dashboards don’t change behaviours. Decision-making does.  

The most successful organisations move beyond traditional business intelligence. They create decision-ready data environments – real-time alerts, embedded analytics, and tools designed around specific use cases.  

Their focus isn’t on giving teams more data but giving them the right data in time to act.  

The result? Smarter, faster decisions at every level of the organisation. 

How You Can Close the Gap 

If you’re not seeing this kind of performance from your data efforts, it’s time to correct it!  

Here’s how you can start: 

Step 1: Align Your Data Strategy with Business Goals 

Too many data strategies are built in isolation. The first step is reconnecting your data priorities with true business outcomes.  

Ask yourself:  

  • What are our top business goals in the next 12-18 months? 
  • What decisions or actions do we want to accelerate, innovate, or improve? 
  • How can data directly support these outcomes?  

Start small with high-impact use cases. Use success in those areas to build momentum. 

 

Step 2: Audit and Strengthen Your Data Foundation 

You can innovate on shaky ground. Take the time to understand where your current data infrastructure is holding you back. 

  • Are systems integrated or siloed? 
  • Can decision-makers access trustworthy data quickly? 
  • Do you have clear governance and data ownership? 

We can help you identify quick wins within your organisation in a quick discovery call. 

Step 3: Deliver Insights That Drive Action

Shift from reporting to decision enablement.  

Design your data products- dashboards, alerts, reports – around the key decisions they should influence.  

Talk to your business users: 

  • What decisions do you regularly make when relying on data? 
  • What’s missing from your current insights?  
  • When do you need the data – and in what format?  

Build tools that close that gap. And always include a feedback loop to improve overtime.  

Download Now

Want more insight on how to close the gap?

Get the expert-backed Guide to Data Innovation.

What Happens If You Don’t? 

Falling behind in the data race isn’t just about missed opportunities – it’s about increased risk.  

Without a clear, business-aligned strategy: 

  • You’ll continue to overspend on underperforming technology 
  • Competitors will move faster, with better insight and agility 
  • Your internal teams will lose faith in data – and you’ll lose momentum 

This isn’t about trends or hype. It’s about competitiveness, resilience, and growth. 

 

What Success Looks Like 

Data-driven organisations don’t just talk about data. They act on it – daily. 

  • They make faster, smarter decisions. 
  • They innovate with confidence.  
  • They deliver ROI on their data investments.  
  • They turn their data into a strategic advantage. 

And with the right guidance, you can, too. 

 

Want to Become One of the High Performers? 

Most companies aren’t lacking data – they’re lacking a strategy that turns data into results.  

Thats where we come in.  

At Engaging Data, we help ambitious leaders, like you, go from an overwhelmed data handler to an empowered data strategist.  

Book a discovery call and see how we can help you unlock the performance your data should be delivering

Download Now

Download the 2025 Guide to Data Innovation

Looking for a more detailed roadmap? 

Our free guide is packed with proven frameworks, use cases, and practical steps to help you deliver a data strategy that works. 

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.