Turn raw data into trusted decisions.
CodeCones provides data analytics services that turn complex data into trusted dashboards, governed metrics and scalable analytical systems. We design cloud analytics layers, business intelligence experiences, semantic models and fit-for-purpose databases across AWS, Azure and GCP so decision-makers can work with reliable, accessible information.
ISO 9001
Certified
ISO/IEC 27001
Certified
200+
Engineering Resources
CodeCones combines data analytics consulting services with hands-on implementation. We define the decisions and metrics that matter, build the analytical and database foundation, deliver usable BI experiences, modernize legacy reporting and support the solution after launch.
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The right analytics solution starts with the user, the decision and the required response time. These are representative use cases, not guaranteed outcomes.
People. Technology. Impact.
Analytics outcomes depend on more than a dashboard. We connect business decisions, governed metrics, data foundations and production ownership around the work your teams need to do.
Cloud Partner Accreditations
Cloud partner accreditations and platform experience across AWS, Azure and Google Cloud.
How we deliver
Timeline and effort depend on source readiness, metric complexity, platform choices, user groups, integrations, governance, migration scope and validation needs.
Production controls
CodeCones designs the analytical path from governed data storage and query processing through semantic metrics to dashboards, embedded analytics and business workflows. Security, access, quality, observability, performance and cost controls are applied across the architecture rather than added after launch.
Layer 1
Store governed analytical data in fit-for-purpose relational, NoSQL, warehouse or search systems.
Layer 2
Shape reliable dimensions, facts and business entities with documented, testable model layers.
Layer 3
Define reusable measures, ownership, access and validation so important numbers stay consistent.
Layer 4
Deliver information through BI dashboards, embedded analytics and APIs that fit real workflows.
When the scope needs ingestion, ETL/ELT, orchestration, data-platform operations or production machine-learning lifecycle depth, we connect the work to our data engineering and MLOps services.
Own an outcome with an end-to-end product team, or add senior specialists inside your existing delivery team.
Use CodeCones to shape, build, and operate an AI or software product with accountable delivery from discovery and architecture through release, observability, and handover.
Build My ProductEmbed experienced AI, software, data, cloud, or DevOps engineers into an existing team with a defined capability gap, ownership model, and working cadence.
Build My TeamHover a tile to explore: clickTap a tag to jump to that section
Industry expertise
Where data latency costs patient outcomes.
Compliance at speed, without the manual overhead.
Personalization that converts, powered by clean data.
Ship AI-enabled products with engineering discipline.
Predict failure before the line goes down.
Turn disruption into loyalty with smarter operations.
Industry scale and outcomes
These sourced figures describe industry-wide data-quality and preparation challenges. They are not CodeCones client outcomes or guaranteed results; no unsupported or unapproved results are published here.
of data professionals’ time spent on preparation rather than analysis
Gartner:Data Preparation Time ResearchTechnology stack
Technology selection follows the workload, governance requirements and existing environment. This representative list does not imply that every tool is used on every project.
Technology selection is guided by project requirements, existing environments and client preferences. This list is representative, not exhaustive.
FAQs
Direct answers about scope, platforms, modernization, cost, timing, ownership and support.
People. Technology. Impact.
Discuss your data sources, reporting challenges, BI users, database environment and target decisions with CodeCones. We will help define the right analytics scope, architecture and next step without forcing a standard platform.
Outcomes-driven engineering: from discovery to deployment and beyond.
What changes when an organization manages the customer problem instead of treating every interaction as a separate ticket? A single customer issue can span multiple emails, calls, channels, departments, tasks and decisions. When those interactions are handled independently, teams can lose context, ownership can become unclear, and customers may be forced to repeat themselves. In Episode 1 of Beyond the Ticket, Shahzaib Ali, Product Manager at ResolveCX, explains the thinking behind ResolveCX’s case-first philosophy. Rather than making the individual interaction the center of work, ResolveCX is designed around the underlying case — connecting the customer issue with its conversations, people, actions, evidence, ownership and escalations throughout the resolution journey. The distinction matters because Customer Operations should ultimately be measured by more than activity. The question is not simply: “Was the ticket closed?” It is: “Was the customer’s problem actually resolved?” About Beyond the Ticket Beyond the Ticket is ResolveCX’s product-led education series exploring why modern Customer Operations should work differently. Each episode examines a real operational problem, product philosophy, capability or design decision behind ResolveCX — and explains what that thinking changes for organizations and their customers. About ResolveCX ResolveCX is an AI-powered Customer Operations Platform designed to help organizations intelligently manage customer cases, complaints, escalations, problems and incidents through structured workflows, governance, automation and operational intelligence. Its case management model is specifically designed to create a case-first operating record across teams, channels and shifts, helping reduce context reconstruction and rework while improving accountability. What do you think? Should Customer Operations be organized primarily around interactions, or around the underlying customer problem? Connect with ResolveCX Website: https://www.resolvecx.global LinkedIn: https://www.linkedin.com/company/resolvecxglobal X / Twitter: https://x.com/resolvecx Facebook: https://www.facebook.com/resolvecx YouTube: https://www.youtube.com/@resolvecx.global Sales Email: sales@resolvecx.global
Most industrial operations collect sensor data at scale but act on almost none of it. Here is how modern IoT engineering teams turn raw device telemetry into predictive maintenance, fault detection, and capacity forecasting that genuinely reduces downtime.
Resolving an incident restores operations. But when the same failure keeps returning, repeatedly resolving it only treats the symptom. ResolveCX Problem Management Software helps organizations identify recurring patterns across incidents, complaints, and cases, investigate their underlying causes, document known errors and workarounds, implement permanent remediation, and verify that the problem has actually been eliminated. In this video, see how ResolveCX combines structured problem investigations, AI-powered pattern detection, root-cause intelligence, remediation governance, recurrence monitoring, and customer-risk intelligence to help teams move from repeatedly reacting to failures to preventing them from returning. ResolveCX's current Problem Management model connects related incidents, complaints, and cases to structured problem records; supports documented root-cause investigation; maintains known errors and workarounds; tracks remediation with owners, timelines and success criteria; and verifies closure through recurrence monitoring. What You'll Learn • How ResolveCX identifies recurring patterns across incidents, complaints, and cases • How AI clusters related issues and supports root-cause investigation • How teams maintain structured problem records with evidence, findings, ownership, and impact • How Known Errors and documented workarounds help teams resolve recurring incidents faster • How permanent remediation is governed through owners, timelines, responsibilities, and success criteria • How ResolveCX monitors recurrence and verifies remediation before problem closure • How complete audit trails support operational governance and regulatory review • How recurring problems can be connected to affected customers and churn risk • How Problem Management helps reduce repeat incidents and operational effort The platform also surfaces customer exposure within problem investigations, allowing remediation priority to reflect both operational severity and commercial/customer risk. Chapters 00:00 Why Recurring Incidents Become Problems 00:18 Detecting Recurring Patterns 00:35 AI-Powered Root Cause Intelligence 00:53 Root Cause Investigation & Known Errors 01:13 Structured Remediation Planning 01:29 Verification, Recurrence Monitoring & Governance 01:43 Customer Impact & Business Outcomes 01:53 Stop the Problem From Happening Again ------------------------------------------------------------------------------ Learn More 🌐 Explore ResolveCX https://www.resolvecx.global 🔍 Explore ResolveCX Problem Management https://resolvecx.global/problem-management 📚 ResolveCX Knowledge Hub & Resources https://resolvecx.global/knowledge-hub 📅 Book a Demo / Discuss Your Project https://resolvecx.global/contact 📧 Contact ResolveCX sales@resolvecx.global Follow ResolveCX LinkedIn https://www.linkedin.com/company/resolvecxglobal X (Twitter) https://x.com/resolvecx Facebook https://www.facebook.com/resolvecx YouTube https://www.youtube.com/@resolvecx.global ------------------------------------------------------------------------------------ Watch More ResolveCX Product Solutions 🎥 ResolveCX Product Solutions Playlist https://youtube.com/playlist?list=PLNpCdaS562ao&si=jDAEQBGyXOqJLouw About ResolveCX ResolveCX is an AI-native resolution governance platform, built from the ground up around AI rather than adding it to a legacy system, using intelligent classification, routing, summarisation, sentiment analysis, agent assistance, SLA risk detection, and automation to manage complaints, cases, escalations, problems, and incidents from intake through resolution. ResolveCX is the flagship product of CodeCones, an AI-first software development company specializing in intelligent solutions that transform how businesses operate. #ResolveCX #ProblemManagement #ProblemManagementSoftware #RootCauseAnalysis #IncidentManagement #OperationalExcellence #AI #CustomerOperations
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