# NeoStats >Neostats turns data, analytics and AI into measurable business advantage across the UAE, India, South Africa and beyond. Enterprise data and AI partner. Important Notes: * Certified Microsoft Solutions Partner across Data & AI, Digital Innovation, Security, and Analytics * Covers services, industry solutions, accelerator products, case studies, and editorial insights on AI delivery, data governance, ESG, and cloud strategy. * 80+ Clients across multiple industries including BFSI, Government, Retail, Energy and Telecom & Media * Generated over $500M in business values * Over 150 specialists in multiple areas including Advisory, Data Engineering, AI & Analytics, and Governance & Security * Makes use case deployment faster by 300% ## Main - [Services](https://neostats.ai/services): Overview of Data, AI, and digital services spanning Infrastructure, Cloud & Security, Data & AI Governance, Data Engineering, Data Analytics, Generative AI, Digitalization & Martech, and Managed Services - [Industry](https://neostats.ai/industries): Industry-specific solutions and case studies for sectors including BFSI, Government, Retial, Energy, Trvel & Aviation, and Telcom & Media - [Partners](https://neostats.ai/ecosystem): Partner ecosystem of technology leaders and strategic collaborators for AI-driven analytics. - [Accelerators](https://neostats.ai/accelerators): Flagship products and reusable modules used within service engagements, including banking analytics and compliance AI. - [Contact Us](https://neostats.ai/contact-us): Contact form for proposing a delivery path from strategy to execution. - [Case Studies](https://www.neostats.ai/casestudies): Anonymised stories that demonstrate measurable impact across data and AI engagements across five industries and six capability lanes. - [View all insights](https://neostats.ai/blogs): Insights blog index featuring articles on GenAI, analytics, governance, and cloud strategy. ## Services - [Infrastructure, Cloud & Security](https://neostats.ai/services/infrastructure-modernization-security): Service for modernizing infrastructure and security as a foundation for AI and analytics. - [Data & AI Governance](https://neostats.ai/services/data-ai-governance): Service establishing secure, compliant data and AI governance built into the platform. - [Data Engineering](https://www.neostats.ai/services/data-engineering): Service for creating reusable,governed,AI-ready data products that support reporting, operational workflows, and intelligent applications together. - [Generative AI](https://www.neostats.ai/services/generative-ai): Service delivering enterprise GenAI solutions including copilots, workflow assistants, conversational search, document intelligence,and intelligent automation. - [Data Science & Analytics](https://www.neostats.ai/services/data-science-analytics): Service providing predictive and prescriptive intelligence, scalableML, real-time analytics, PowerBI,and GenAI-assisted insights - [Digitalization & MarTech](https://www.neostats.ai/services/martech-transformation): Service which helps enterprises connect customer data, decisioning, channels, and measurement into one commercial operating model. - [Managed Services](https://www.neostats.ai/services/managed-services): Service combining unified service management, automation,modular specialist support, and low-touch operations across applications,analytics platforms, data pipelines, AI models, and infrastructure. ## Industries - [Banking & Financial Services](https://www.neostats.ai/industries/banking-financial-services): Industry-specific AI and GenAI products and reusable modules for banking and financial services, covering customer intelligence, risk analytics and compliance AI. - [Insurance](https://www.neostats.ai/industries/insurance): Industry-specific AI and GenAI products and reusable modules for insurance, covering renewals, risk & consumer outcomes - [Government & Judiciary](https://www.neostats.ai/industries/government-public-sector-judiciary): Industry-specific AI and GenAI products and reusable modules for the government & judiciary, covering citizen services modernisation, judicial analytics, compliance automation, or managed services for public sector. - [Retail](https://www.neostats.ai/industries/retail): Industry-specific AI and GenAI products and reusable modules for retail, covering growth,trend prediction, personalization & operational efficiency - [Energy](https://www.neostats.ai/industries/energy): Industry-specific AI and GenAI products and reusable modules for energy & utilities, covering reliability, telemetry and modernising the industrial data core - [Travel & Aviation](https://www.neostats.ai/industries/travel-and-aviation): Industry-specific AI and GenAI products and reusable modules for travel & aviation, covering AI concierge, predicting service disruption, and unifying revenue & operations. - [Telecom & Media](https://www.neostats.ai/industries/telecom-and-media): Industry-specific AI and GenAI products and reusable modules for telecom & media, covering modernizing data foundations, operationalizing AI for audience growth, and building governed systems that scale. ## Case Studies ### Banking & Financial Services - [Cloud, Data, AI for Banking & Financial Services](https://www.neostats.ai/case-study/banking-financial-services/cloud-data-ai-strategy): Case Study detailing how NeoStats designed a comprehensive Cloud, Data & AI strategy for a leading commercial bank. Delivered a prioritised use-case backlog, cost-justified cloud migration & AI governance framework. - [Cloud & Data Engineering for Banking & Financial Services](https://www.neostats.ai/case-study/banking-financial-services/cloud-data-engineering): Case stuyd detailing how NeoStats built a modern data lakehouse on Microsoft Fabric for a regional bank which consolidated 9 source systems into a single, governed data platform. - [AI, GenAI & Analytics for Banking & Financial Services](https://www.neostats.ai/case-study/banking-financial-services/ai-genai-analytics): Case study detailing how NeoStats delivered an AI-powered Early Warning System for credit risk - combining machine learning pre-delinquency prediction, IFRS 9 SICR detection, and an Azure OpenAI-powered AI Copilot - enabling relationship managers to intervene on at-risk accounts 60 days earlier than the bank's previous rule-based system. - [Data & AI Governance for Banking & Financial Services](https://www.neostats.ai/case-study/banking-financial-services/data-ai-governance): Case study detailing how NeoStats implemented a bank-wide Data Governance programme - including Microsoft Purview rollout, a business-owned data dictionary covering 3,200+ data elements, and BCBS 239 compliance evidencing. - [Infrastructure & Security for Banking & Financial Services](https://www.neostats.ai/case-study/banking-financial-services/infrastructure-security): Case study detaling how NeoStats conducted a comprehensive Azure Security Envisioning Workshop for a bank, uncovering 23 critical security gaps across cloud, data, and endpoint infrastructure - then designed and implemented a Microsoft Sentinel-based Security Operations Centre that now monitors 14 billion events per day. - [Managed Services for Banking & Financial Services](https://www.neostats.ai/case-study/banking-financial-services/managed-services): Case study detailing how NeoStats provides end-to-end Managed Data & Analytics Services for a mid-sized bank - owning platform operations, data pipeline reliability, model monitoring, and BI report delivery. ### Insurance - [Cloud, Data, AI for Insurance](https://www.neostats.ai/case-study/insurance/cloud-data-ai-strategy): Case study detailing how Neostats developed a data & AI strategy for a multi-line insurer that unified fragmented acturial, claims and distribution data into a single strategic roadmap. Identified $3.8M in efficiency opportunities. - [Cloud & Data Engineering for Insurance](https://www.neostats.ai/case-study/insurance/cloud-data-engineering): Case study detailing how NeoStats built a real-time claims data platform for a general insurer - integrating 11 claims system feeds into a unified Microsoft Fabric lakehouse. - [AI, GenAI, Analytics for Insurance](https://www.neostats.ai/case-study/insurance/ai-genai-analytics): Case study detailing how NeoStats developed an AI-powered fraud detection and claims triage system for a general insurer reducing fraudulent claim payouts by an estimated 18% and cutting handler triage time by 35%. - [Data & AI Governance for Insurance](https://www.neostats.ai/case-study/insurance/data-ai-governance): Case study detailing how NeoStats implemented a Data Governance framework for an insurer navigating GDPR, DPDP Act compliance, and AI model regulatory requirements - establishing data ownership, a Microsoft Purview catalogue across 14 systems, and an AI governance structure that satisfied both internal audit and external regulators. - [Infrastructure & Security for Insurance](https://www.neostats.ai/case-study/insurance/infrastructure-security): Case study detailing how NeoStats conducted a Data Security assessment for a life insurer holding sensitive policyholder health and financial data, uncovering critical exfiltration risks, and implementing a Microsoft Purview-based DLP and insider risk programme that reduced the board's data security risk. - [Managed Services for Insurance](https://www.neostats.ai/case-study/insurance/managed-services): Case study detailing how NeoStats operates the data and analytics platform for a specialist insurer - providing platform management, analytics delivery, and actuarial data services under a managed services model that has reduced platform costs while improving report quality and delivery speed. ### Government & Judiciary - [Cloud, Data & AI for Government](https://www.neostats.ai/case-study/government-public-sector-judiciary/cloud-data-ai-strategy): Case study detailing how NeoStats developed a National Data & AI Strategy for a metropolitan government authority - defining a sovereign cloud architecture, a citizen data governance framework, and an AI ethics policy aligned with national data management mandates. - [Cloud & Data Engineering for Government](https://www.neostats.ai/case-study/government-public-sector-judiciary/cloud-data-engineering): Case study detailing how NeoStats built a Unified Citizen Services Data Platform for a city government enabling real-time service demand monitoring, cross-agency case management, and the city's first government-wide performance dashboard. - [AI, GenAI & Analytics for Government](https://www.neostats.ai/case-study/government-public-sector-judiciary/ai-genai-analytics): Case study detailing how NeoStats deployed an AI-powered policy analytics and citizen sentiment platform for a national government department - using ML for policy impact modelling and Azure OpenAI for automated public consultation analysis. - [Data & AI Governance for Government](https://www.neostats.ai/case-study/government-public-sector-judiciary/data-ai-governance): Case Study detailing how NeoStats implemented a national-standard Data Governance programme for a public sector authority - including NDMO compliance evidencing, a whole-of-government data catalogue, and a citizen data protection framework - achieving full compliance certification and the authority was subsequently selected as an NDMO reference case. - [Infrastructure & Security for Government](https://www.neostats.ai/case-study/government-public-sector-judiciary/infrastructure-security):Case study detailing how NeoStats conducted a full cloud and data security assessment for a government agency managing sensitive citizen data, identified critical vulnerabilities across a hybrid Azure environment, and implemented a Microsoft Sentinel-based government SOC - achieving national cybersecurity certification ahead of the mandatory deadline. - [Managed Services for Government](https://www.neostats.ai/case-study/government-public-sector-judiciary/managed-services): Case study detailing how NeoStats provides ongoing Managed Data & Analytics Services to a city authority - operating the citizen data platform, delivering monthly performance reporting, and managing the data governance programme. ### Retail - [Cloud, Data & AI for Retail](https://www.neostats.ai/case-study/retail/cloud-data-ai-strategy): Case study detailing how NeoStats developed a Data & AI Strategy for a multi-format retailer - prioritising personalisation, demand forecasting, and supply chain visibility - and designed a Microsoft Fabric-based customer data platform projected to deliver a 6-8x ROI across identified initiatives within 24 months. - [Cloud & Data Engineering for Retail](https://www.neostats.ai/case-study/retail/cloud-data-engineering): Case study detailing how NeoStats built a unified retail data platform on Microsoft Fabric for a national grocery retailer - integrating loyalty, POS, e-commerce, supply chain, and supplier data into a single lakehouse - enabling Customer 360 analytics, SKU-level demand forecasting, and a real-time store operations dashboard. - [AI, GenAI & Analytics for Retail](https://www.neostats.ai/case-study/retail/ai-genai-analytics): Case study detailing how NeoStats deployed an AI personalisation engine and demand forecasting platform for a fashion retailer - driving a 14% uplift in online conversion through real-time product recommendations and a 22% reduction in end-of-season markdown through improved demand prediction at size-colour-style level. - [Data & AI Governance for Retail](https://www.neostats.ai/case-study/retail/data-ai-governance): Case study detailing how NeoStats implemented a Customer Data Governance programme for a multi-channel retailer - establishing GDPR-compliant data management, a Microsoft Purview catalogue covering all customer data assets, and a consent management framework - unblocking a GBP1.8M personalisation initiative held up by legal and compliance uncertainty. - [Infrastructure & Security for Retail](https://www.neostats.ai/case-study/retail/infrastructure-security): Case study detailing how NeoStats conducted a Cloud and Data Security assessment for a retailer processing 4.2 million monthly payment transactions - identifying PCI DSS compliance gaps - then implemented a security architecture that achieved PCI DSS certification and cut account takeover incidents from 340 to 12 per month. - [Managed Services for Retail](https://www.neostats.ai/case-study/retail/managed-services): Case study detailing how NeoStats manages the data and analytics platform for a grocery retailer - providing 24/7 platform operations, daily trading analytics, weekly demand forecasting runs, and campaign analytics delivery - improving commercial report on-time delivery and boosting team satisfaction. ### Others - [Cloud & Data Engineering for Energy](https://www.neostats.ai/case-study/energy/cloud-data-engineering): Case study detailing how NeoStats partnered with an Energy & Utilities enterprise to build a Microsoft Fabric-based data platform that unified asset telemetry, operations, trading, and compliance data into a governed analytics foundation for near real-time decisions. - [AI, GenAI & Analytics for Telecom & Media](https://www.neostats.ai/case-study/telecom-and-media/ai-genai-analytics): Case study detailing how NeoStats partnered with a telecom and media group to build an AI-driven audience intelligence and engagement platform on Microsoft Fabric, unifying subscriber, content, campaign, and service-interaction data for faster, measurable growth decisions. - [Cloud & Data Engineering for Travel & Aviation](https://www.neostats.ai/case-study/travel-aviation/cloud-data-engineering): Case study detailing how NeoStats partnered with a Large Airlines to migrate its legacy data infrastructure to a scalable, governed platform on Microsoft Fabric. By implementing a Medallion Architecture, the project ultimately enabled high-performance analytics and reliable Power BI reporting for the airline. ## Company - [Careers](https://neostats.ai/careers): Careers page describing roles, environment, and mission in data and AI consulting. - [About Us](https://neostats.ai/about): Company overview covering principles, vision, mission, leadership, methodology, and values.