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The majority of our clients have plenty of data in their business environment but are not able to harness it in a holistic manner to be able to see real-time, actionable insights for their businesses.  Harnessing this data in a coherent fashion is precisely what Keri Analytics is all about.

But this is not just a technical matter…..

At Keri Analytics, we understand that every customer has a unique set of metrics with which they would like to manage their business.  With that in mind, we have a strong skills base, not solely focused on the technical nature of data, but also on how it is leveraged to provide real business advantage.  With over 50 years’ experience at various industry leaders, spanning transport, healthcare, pharmaceutical and technology to name a few, we have a unique blend of skills that enables us to bring specialist data expertise to any business or industry. We spend time with our clients’ leadership teams ensuring that we can understand the high-level reflective reporting that they need to be able to maximize profit and gain competitive advantage.

Business Understanding

We believe in the maxim ‘You get what you measure’.  With this in mind, we ensure that we fully understand the underlying mechanics of the business, the key indicators and the available data in order to be able to build a data infrastructure that can produce real time, actionable insights.  Because we regard this as such an important part of our customers’ success, we offer a free of charge, day-long, initial assessment (often face to face) to provide clients with a view of the ‘art of the possible’ – what could be done with their data and what kind of reporting would be made available.

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Data Sourcing

Effective data sourcing ensures that your business has access to accurate and relevant information from diverse systems, forming a reliable foundation for all subsequent data activities. By tapping into the correct data sources, your business can make better-informed decisions, stay ahead of trends, and maintain a competitive edge.

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Data Transformation

Data transformation refines raw data into a structured, usable format, tailored to your specific needs. This process enhances data quality, consistency, and accessibility, enabling more precise analysis and ensuring that your data is aligned with your business objectives.

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Data Analysis

Through data analysis, businesses can uncover valuable insights, identify patterns, and make data-driven decisions that optimize operations, enhance customer experiences, and drive growth. This analytical process turns data into a powerful tool for strategic planning and problem-solving.

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Data Visualization

Data visualization transforms complex data sets into intuitive, easy-to-understand visuals, making insights accessible to all stakeholders. This clarity fosters better communication, quicker decision-making, and a shared understanding of key metrics and trends within your organization.

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Machine Learning

Machine learning empowers your business to predict outcomes, automate processes, and identify hidden opportunities. By leveraging advanced algorithms, you can continuously improve efficiency, personalize customer experiences, and adapt swiftly to changing market conditions.

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Our engagement process

Initial Scoping Meeting

Objective

Understand your business, main goals, and potential areas for data-driven improvements.

Key Actions

  • Introduction to Keri Analytics: Briefly explain who we are, how we can help and ways we’ve been able to help other businesses.
  • Understand Your Business: Ask about your industry, main products/services, and key business objectives.
  • Define Scope: Discuss the areas where we believe data can play a role, such as optimising operations, improving marketing efficiency, enhancing customer experience, etc.
  • High-Level Data Overview: Understand the types of data you are currently collecting, where it's stored, and the current technology landscape in your company.
  • Set Expectations: Clarify timelines, resources, and budget to get a sense of what’s realistic in terms of project delivery.

Outputs

  • Defined objectives and pain points
  • Initial understanding of available data and systems

#1

Identification of Pain Points and Opportunities

Objective

Dive deeper into the business challenges and opportunities for improvement.

Key Actions

  • In Depth Workshops: Engage different departments (e.g., sales, operations, marketing) to gather insights into their specific pain points. This gives us a greater understanding of where we can add value quickly to your operation.
  • Data Gap Analysis: Assess whether the necessary data to solve their pain points is available. Identify any missing data, data quality issues, or siloed systems.
  • Prioritise Problems: Work together to prioritise the most impactful problems based on the urgency and potential business impact.

Outputs

  • Detailed list of pain points and prioritised opportunities
  • Data audit results and gap identification

#2

Provide Quick Wins and Immediate Value Delivery

Objective

Build trust by delivering immediate value, even on a smaller scale.

Key Actions

  • Identify "Quick Win" Projects: Understand where we are able to provide impactful actions to deal with some of the previously defined pain points in a short time frame. For example this may be ad hoc analysis, process automation or a prototype machine learning/AI adoption.
  • Proof of Concept (PoC): Develop a PoC to demonstrate how Keri Analytics can address some of the key problems quickly. The goal is to provide tangible results fast.
  • Collaborative Implementation: Work closely with to ensure the solution adds value and fits into the operation without disrupting workflows.
  • In Depth Workshops: Engage different departments (e.g., sales, operations, marketing) to gather insights into their specific pain points. This gives us a greater understanding of where we can add value quickly to your operation.
  • Data Gap Analysis: Assess whether the necessary data to solve their pain points is available. Identify any missing data, data quality issues, or siloed systems.
  • Prioritise Problems: Work together to prioritise the most impactful problems based on the urgency and potential business impact.

Outputs

  • First round of results demonstrating data value
  • A short report or dashboard that visualises the value delivered

#3

Roadmap for Long-Term Engagement

Objective

Establish a plan for deeper, ongoing engagement.

Key Actions

  • Present Results: Demonstrate how the work produced is able to provide value and discuss the long-term benefits for your business.
  • Create a Data Strategy Roadmap: Build a long-term plan that outlines how you can systematically address larger pain points, improve data infrastructure, and unlock further value through analytics.
  • Define KPIs: Define and document measurable key performance indicators (KPIs) for future projects.
  • Educate a Data Culture: We will help you understand ways to integrate data-driven decision-making into your daily operations and management.

Outputs

  • A strategic roadmap with timelines and key projects
  • Known benefits for future projects
  • Clearly defined measurable KPIs

#4

#5

Ongoing Support and Optimization

Objective

Ensure continued success and expand the engagement.

Key Actions

  • Regular Check-ins: Schedule bi-weekly or monthly meetings to track project progress and identify new opportunities.
  • Data Optimization: Continue to improve data collection, storage, and analysis practices for better long-term results.
  • Develop Data Maturity: As you become more data mature, we can help design and implement more advanced services like machine learning models, predictive analytics, or custom software solutions.

Outputs

  • Continuous improvements in client operations

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