Data Management Solutions

Secure, Scalable Data Management for Smarter Decisions and Digital Transformation

At Anna Consultancy LLC, our Data Management Solutions are more than just data handling; they form the backbone of your digital transformation. We combine expertise in cybersecurity, compliance, and data management to ensure your business can leverage its data safely and effectively, turning insights into strategic actions.

Anna Consultancy Services

Services We Offer:

Data Integration:

Our comprehensive approach ensures that all data sources are unified, enabling a single source of truth. Coupled with cybersecurity best practices, your data remains secure while driving better decision-making.

Business Intelligence (BI):

Leverage real-time insights through secure, compliant data platforms. Why does this matter? It allows you to quickly respond to trends while maintaining full compliance with industry standards, resulting in faster, more informed decisions.

AI & Advanced Analytics:

By combining AI-driven insights with robust cybersecurity measures, you can confidently extract valuable insights while keeping data safe. So what? This helps you optimize operations, reduce costs, and stay competitive without sacrificing security.

Big Data Solutions:

We process large datasets while ensuring your data remains secure and compliant with regulatory frameworks such as GDPR and PCI-DSS. This means you can react in real time, transforming insights into action without worrying about vulnerabilities or non-compliance.

Cloud-Based Data Platforms:

Our cloud solutions are built with scalability, security, and compliance in mind, ensuring your business can access data anytime, anywhere, without compromising on data protection or regulatory adherence.

By integrating cybersecurity, compliance, and data management, Anna Consultancy LLC ensures that your business can safely harness the power of data to drive innovation, efficiency, and digital transformation. We don’t just manage data; we secure it, analyze it, and turn it into a powerful tool for business growth.

Case Studies

Case Study #1

Data Management for Leading Solar Energy Provider

Client Overview:

A leading solar energy provider managing data from over 500,000 solar installations across multiple regions faced challenges in handling vast amounts of data, ensuring accurate billing, and complying with regulatory requirements.

Key Results:

  • Improved Operational Efficiency: Streamlined data management and analytics improved the provider’s ability to manage energy distribution and grid stability.
  • Accurate Billing: Complex billing structures, including net metering, ensured accurate and timely billing for customers.
  • Regulatory Compliance: The solution met all regulatory requirements, facilitating smoother audits and reporting.
  • Enhanced Grid Management: Real-time data processing allowed the provider to balance supply and demand more effectively.

Outcome:

The deployment of Oracle MDM enabled the solar provider to enhance customer satisfaction, improve operational efficiency, and ensure compliance, driving growth in the renewable energy sector.

Solution:

We implemented Oracle MDM to centralize data collection, processing, and storage. This allowed the provider to seamlessly integrate data from various sources, including solar panels and weather stations, and optimize operations with advanced analytics.

Case Study #2

Database redesign and replatform for a Leading US Ticketing Platform (Inflight)

Challenge: A Leading US Ticketing Platform faced significant costs and performance issues with a legacy database hat was costly to run and inefficient.

Key Results (Expected):

  • Database from SQL Server to PostgreSQL; To reduce costs incurred on licenses and processing database was migrated. Expected reduction in the overall run costs by 65%.
  • Database Transformation: Full transformation of the database using third normal form and segregation using domain driven design to improve efficiency. Expected reduction in operational costs (CPU, Memory and Storage) of over 50%.

Solution:

Implementing a Domain Driven Design with segregated databases:

  • Single Database for each Domain: segregation of data along business processes and transactions to reduce data complexity, improving performance.
  • Removal of data duplication and introduction of good data architectural patterns: Introduced best practice to data modelling and reduced data duplication totally.

Case Study #3

Customer data strategy and implementation for Bank demutualisation

Challenge: A local building society was undergoing a demutualisation and transforming into a bank. As part of this they needed to uniquely identify all customers to determine eligibility for profit share.

Key Results:

  • Definition and creation of Customer data strategy: Successful presentation of customer data strategy to senior executives.
  • Approval to Proceed with implementation: Senior executive approval for implementation of presented strategy.
  • Delivery to time and on budget: Customer data project delivered including all defined scope within time and on budget.
  • Customer Satisfaction: 99% customer matching achieved and payouts within defined timeframes.

Solution:

Over a 9-month timeframe, defined and implemented customer master data to allow demutualisation payments

  • New data warehouse: Introduced a new data warehouse to master customer data.
  • Data Migration: Successfully migrated data from the legacy application to the new warehouse.
  • Service design: Designed and implemented range of services to dedupe customer data, perform matching logic, provide exception and partial matching reports and allow service staff to force match.
  • Provided Management reporting and customer payouts: implemented a comprehensive suite of management reports from data warehouse. Workflow for initiate customer payouts based on defined criteria with management and finance approval steps.

Case Study #4

Single view of Customer for an International Wealth Management Investment Firm

Challenge: An international wealth management firm was struggling with providing customers with a coherent and unified view of all products held on their platform. This resulted in a huge overhead for operational staff to ensure simple customer made changes were correctly applied to all products.

Key Results:

  • Single unified customer view: Creation of a centralised data function to unify customers with multiple products across the platform.
  • Digital Enablement: Creation and exposure of API service layer across the unified customer facilitated digital enhancements to allow single customer view of all products.
  • Operational Efficiency: removed the need for client services to perform or check updates had been applied correctly.

Solution:

Executed a program that included:

  • Creation of a centralised customer datahub: new centralised customer service that lodged all customer creations and provided APIs to exposes the customers and products
  • Digital Transformation: Transformed the digital proposition to leverage the above service layer.
  • Data Migration: back load of all existing customers and products into centralised datahub.