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Data Strategy

We deliver an enterprise vision for data through data architecture, data management and analytics. Our strategy is backed by detailed roadmaps with realistic objectives.

Strategy Definition

1/3

We take the time to understand your firm's ambitions and constraints, and comprehensively analyze your data landscape to define actionable data strategies for:

  • IT architecture
  • Data architecture
  • Data management

Change Leadership

2/3

Our strategy approach is proven, repeatable, data-driven and vendor/technology agnostic, with actionable results. We use strategy accelerators and frameworks including:

  • Interactive data mapping tools
  • Data governance assessment frameworks
  • Detailed business knowledge

Solution Architecture

3/3

Working closely with your business, we establish a vision, evaluate constraints and enablers and ask: Where are you right now? Where do you want to be? How do you get there?

  • Be guided by your business goals
  • Determine the target state
  • Consider existing and potential future data solutions
  • Incorporate design thinking
  • Identify issues and constraints
  • Ensure your strategy can be implemented (from both a technical and cultural point of view)
Data

Data Management
& Governance

We partner with clients to enable high-quality, discoverable, available and controlled data for business.

Enhanced Capabilities

We improve your existing capabilities through the targeted alignment of business organization, process and data management technologies. This is delivered through:

  • Continuous training and data awareness
  • Rigorous policies and standards
  • Clear roles and responsibilities
  • Regular reviews of technology capabilities and best practice learning
  • Automation of quality, active metadata and governance (to support data at scale)
  • Ensure your strategy can be implemented (from both a technical and cultural point of view)
  • Proactive management of data as a product
  • Development of a mindset that strong governance has real business value

Data Engineering

We design and build high performing and scalable data platforms and solutions.

Automation at Scale

1/2

Achieving automation at scale requires innovative technology and approaches and new ways of thinking. We help businesses to:

  • Design, build, run and optimize in complex technical and regulatory environments
  • Achieve a consistently high performance over time

Discoverable, Accessible Data

2/2

Our years of financial services data and systems experience allow us to solve some of the most challenging data problems. We help businesses to make data discoverable and accessible through:

  • Effective architecture
  • Better integration
  • Improved data operations

Business Intelligence
& Data Visualization

We work with clients knowing the analytics journey begins with easy to find, good quality data. We then use it to tell a compelling story that can be presented in a convincing way.

Knowledge and Data Sharing

Finding real insight and value in data means knowing the full data journey from start to finish – and how it’s used by every business process.

  • Build trust through transparent data sourcing and quality data
  • Make complex data accessible, understandable and usable
  • Combine data from multiple sources
  • Deliver data in a useful and appealing way
  • Monitor for anomalies

Data Science
& Modeling

We blend domain knowledge, mathematical skills, and expert architectural and programming skills to extract robust, repeatable and meaningful insights from your data.

Exploratory Data Analysis

We’ll help you to investigate your data to understand what analytics are possible.

  • Data completeness assessment
  • Outlier detection
  • Feature importance and sensitivity analysis

Data Case Studies

Data

Unlock the power of data through Artificial Intelligence

Data

Blockchain Center of Excellence

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