Data and AI Services

Manage and Modernise Your Data Estate and Analytics on Cloud

There is a growing need for hyper scalability, performance, visualisation and analytics as businesses fast track their digital transformation initiatives. Data and AI are at the heart of digital transformation. To exploit the power of your business data, you need to transform your data estate by modernising your data by leveraging cloud services. The modern cloud databases, data analytics, data visualization and AI solutions deliver rich functionalities and scalability to aid in the business objective of digital transformation.

 

Legacy data estates support several business-critical functions within the enterprise application landscape, but they come with a high cost of ownership and maintenance and do not have the capabilities or performance to support digital initiatives. Legacy data and infrastructure are also primary causes for several data security breaches and cybersecurity attacks. As businesses embark on digital transformation to enhance their end customer experience, leverage cloud solutions and services and protect their data environment with cloud security, these legacy data estates become a roadblock to infrastructure and application modernisation.

Data and AI Services

Xencia’s Data and AI Services help organizations transform legacy data estates to cloud-based technologies and architecture to deliver better results and business benefits. Our Data & AI service is based on Azure Data Platform, Azure App Services, Azure SQL DB, Power BI, Azure Data Lake, Azure Data Factory and Azure Cognitive Services and categorized as follows:

Data Modernisation Services

  • SQL DB Modernisation
  • Opensource DB Modernisation
  • Cosmos DB

Data Visualisation Services

  • Power BI Dashboards and Reports
  • Power BI embedded on Azure
  • Power BI Report Server

Cloud Analytics Services

  • Synapse Analytics
  • Azure Data Factory
  • Azure Data Lake
  • Cognitive Services / ML Studio

Our Data and AI services span the complete lifecycle of data services. Business data is captured from multiple sources based on business needs. The data can be in a structured or unstructured format. The data is then cleaned to fix inconsistencies and identify missing data inputs. The cleaned data is then visually analyzed to form a hypothesis about the business problem at hand. Based on the visualization, the raw data is converted into meaningful formats or features that can be used for data modeling, which is the next stage. In this stage, predictive models or analytical solutions are built using statistical methods or by training machine learning algorithms. In this stage of data science, machine learning and artificial intelligence is used extensively nowadays to generate deep learning models. The key findings from this stage are then communicated to the relevant stakeholders via dashboards for business insights and decision making. By leveraging the latest cloud technologies, we help small and medium enterprises to:

Modernize their legacy data estates

Process huge volumes of data efficiently

Analyze the data to glean deep business insights

Visualise the analysed data with smart dashboards and tools

Leverage AI and ML tools to develop advanced cognitive solutions

The modern data, analytics and AI solutions deliver rich functionalities and scalability to aid in the business objective of digital transformation. We help protect your investment in custom applications and software by transitioning to modern back-end technology platforms. We also support the modern data platforms with our 24×7 monitoring and management services to resolve issues and ensure zero disruption to the production environment.

Xencia’s Delivery Approach

Our delivery model has been developed and matured through our experience and expertise in cloud services, especially Microsoft Azure. Our delivery approach has been established based on several hundred cloud service deployments across multiple clients and businesses. Our client’s vouch for our proven model of assessment, design, implementation, development and ongoing operations support that help them in achieving their business objectives faster. Our delivery model consists of:

Infrastructure Setup

  • Analysis and Design of Infrastructure
  • Cost and ROI Analysis
  • Security and CAF Implementation
  • Data/ Server Migration
  • Agile Infrastructure Setup for Data and AI

Development Services

  • Analysis and Design of Data/AI Solution
  • Prototype Development
  • End to End Solution Development
  • Data Modernisation
  • Data and AI CoE Setup

Managed Services

  • Continuous Monitoring and Optimisation
  • Issue Fixes and Support
  • Support for Availability & Security
  • Change Requests Support
  • Managing Scalability

Value Proposition

  • CAPEX and OPEX reduction by 30%
  • 4x faster time to market and 99.99% environment availability
  • Based on SQL MI PaaS, Azure SQL database, Cosmos DB, Azure App Services, Power BI Embedded, Azure LUIS, Azure Data Lake and Azure Cognitive Services
  • Improve scalability, analytics and cloud security
  • Enhance the digital experience with cloud-based data services and solutions