Your data can do more than tell you what happened.
DecodeData combines
enterprise data management, modern analytics and AI
to help organisations identify patterns, explain
performance, detect anomalies and make information
easier for people to understand and act on.
Traditional analytics typically helps organisations understand: What happened?
AI-powered analytics can extend that experience by helping users investigate why performance changed, identify what requires attention and explore what could happen next.
The objective isn't to replace dashboards. It is to make analytics more proactive, accessible and useful.
Explore the drivers, patterns and contributing factors behind business performance.
Identify anomalies, exceptions and important changes that may require investigation.
Use historical patterns and analytical models to support forward-looking decisions.
Turn analytical insight into information that supports faster and more informed action.
Combine trusted enterprise data, analytics and AI to create more proactive and intelligent information experiences for your organisation.
Allow business users to ask questions about governed enterprise data using natural language.
Natural-language questions
Governed data access
Business-friendly responses
KPI exploration
Self-service analysis
Contextual explanations
Faster information discovery
Generate summaries and explanations of important KPI movements and business performance.
KPI summaries
Performance explanations
Trend identification
Automated commentary
Driver analysis
Period comparisons
Management insights
Identify unusual patterns, exceptions and changes that may require attention.
Pattern monitoring
Exception detection
Unusual activity identification
Threshold monitoring
Change detection
Automated alerts
Investigation support
Use historical data and appropriate analytical models to support forecasting and forward-looking decisions.
Forecasting
Trend modelling
Demand analysis
Pattern analysis
Scenario support
Forward-looking insights
Decision support
Reduce manual effort involved in recurring reporting, commentary and information analysis.
Report summaries
Automated commentary
Variance explanations
Recurring reporting
Executive summaries
Information synthesis
Reporting workflow support
Apply AI to data quality, monitoring, classification and data management processes.
Data quality monitoring
Data classification
Pipeline monitoring
Data anomaly detection
Metadata enrichment
Data issue identification
Data management automation
AI-powered analytics can combine data from multiple business domains to identify patterns, explain changes and help teams focus on what matters.
Data:
Customers + Products + Transactions + Channels
AI:
Detect changes and patterns.
Outcome:
Understand performance drivers and emerging
opportunities.
Data:
Inventory + Orders + Suppliers + Demand
AI:
Identify anomalies and analyse trends.
Outcome:
Improve visibility into stock and operational risks.
Data:
Actuals + Budgets + Forecasts + Transactions
AI:
Analyse variances and generate commentary.
Outcome:
Faster financial analysis and management reporting.
Data:
Assets + Work Orders + Service + Operational Events
AI:
Identify exceptions and unusual behaviour.
Outcome:
Help operational teams focus on areas requiring
attention.
Data:
Transactions + CRM + Service + Digital Interactions
AI:
Analyse behaviour and patterns.
Outcome:
Build a richer understanding of customer activity.
Data:
Workforce + Roles + Skills + Activity
AI:
Analyse workforce patterns and organisational trends.
Outcome:
Support workforce planning and improve visibility
into people-related trends.
Data:
Campaigns + Channels + Leads + Engagement + Revenue
AI:
Analyse campaign patterns, engagement and performance
across channels.
Outcome:
Understand campaign effectiveness and identify
opportunities to improve marketing performance.
Data:
Cases + Customers + Service History + Resolution + Feedback
AI:
Identify service patterns, recurring issues and
changes in support demand.
Outcome:
Improve visibility into service performance and
identify areas requiring operational attention.
Our core advantage is the ability to work across the complete information lifecycle. Instead of treating AI as a standalone technology, we connect it directly to your data management and analytics foundation.
Connect information from enterprise applications, operational systems, databases, files and cloud platforms.
Integrate, transform and organise data into reliable pipelines for analytics and AI.
Establish a modern enterprise data foundation for integrated analytics and AI workloads.
Apply appropriate governance, quality and business context before using data for AI.
Create governed business definitions and analytical models that users can understand and trust.
Apply AI, machine learning and intelligent analytical capabilities to trusted enterprise data.
Combine business context, analytical insight and AI-generated explanations to help users understand what matters and determine the appropriate next step.
Deliver proactive insights and bring important changes directly to the people who need them.
Turn trusted analytical insight into decisions, workflows and measurable business action.
Our data and AI capabilities can combine modern data platforms, analytics, machine learning, Generative AI and automation technologies.
We design solutions around your existing enterprise architecture, helping connect data, analytics and AI capabilities rather than introducing isolated tools.
We can also work with enterprise data platforms including gainsboroflake and Databricks.
Create an integrated enterprise data foundation for engineering, analytics, reporting and AI workloads.
Deliver governed business intelligence, trusted metrics and analytical experiences for business users.
Introduce Generative AI and intelligent capabilities on top of trusted enterprise data and business context.
Connect analytics and AI insights with conversational experiences, workflows and automated business actions.
Support predictive analytics, machine-learning models and advanced analytical use cases.
Integrate Microsoft analytics and AI capabilities with established enterprise cloud data platforms.
We approach AI from a data-first perspective. Our teams work across enterprise data management, engineering, modern data platforms, analytics, Power BI and governance.
Bring together information from fragmented enterprise sources and business applications.
Establish appropriate quality, security, ownership and governance around enterprise data.
Create trusted analytical and semantic models aligned with business definitions.
Transform enterprise information into understandable metrics, trends and insights.
Introduce AI where it can improve analysis, explanation, prediction and information access.
Move insight into alerts, workflows, decisions and actions rather than leaving it in a dashboard.
"I have worked with Atul and Decode Data at various roles and most recently at Craveable Brands when we required additional assistance with our CPD data warehouse.
Decode Data provided a Data Engineer who came up to speed quickly and became a valuable member of the team.
The Data Engineer also identified areas for improvement and put forward recommendations which we took up. Atul provided weekly timethel reports and formality check-ins to ensure everything was on track. I highly recommend Decode Data for both Microsoft and Google data environments having worked with them across both."
Sincerely, Simon Revelman
CIO, Craveable Brands
"We engaged DecodeData to address challenges around getting BI up and running after multiple attempts, and were frustrated that the business was still relying on heavy manual reporting, slow delivery, and low user adoption. Over the past year, they have improved our data capability, starting with the automation of our weekly sales commission reporting through Power BI - eliminating manual effort and improving accuracy and speed. They also optimised our Microsoft Fabric data platform, enhancing performance, reliability, and scalability. In addition, the rollout of Inventory and CRM dashboards has driven stronger adoption and more consistent decision-making across the business. The key outcomes have been improved reduced operational overhead, trust in data, and a clear uplift in our overall data maturity. DecodeData have been a methodical and dependable partner focused on delivering real business value."
Sincerely, Petra Industries
DECODE DATA delivered practical and cost-effective solutions that effectively addressed our requirements. Their prompt response was instrumental in supporting a time-sensitive project, allowing us to retain a critically important client.
We extend our heartfelt appreciation to Atul and his dedicated team for their invaluable contributions to our success.
Sincerely
The TWG Project Management Team
Talk to DecodeData about combining your enterprise data, analytics and AI capabilities to uncover insights, identify exceptions and support better business decisions.
Start with a specific business decision, analytical challenge or reporting process and determine where AI can create measurable value.
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