Data Value Accelerator

Convert your enterprise search into a powerful Google-like experience with a starter knowledge graph and best practice search UX to unify content and data in just 8-weeks.

Solutions > Data Value Accelerator

WHAT YOU GET

Unified enterprise search powered by a starter knowledge graph

Win big with this 90-day project where we work with you to connect content and data entities together in a graph database and surface the results in a stunning, highly actionable set of data visualizations and search results. This is a great project for those new to knowledge graphs and sets the foundation for AI and machine learning from a user-first perspective.

COST

  • Starting at $48,000 for initial planning and a clickable search prototype, up to $150,000 for implementation. Prices vary depending on scope, staffing needs and complexity.

DURATION

  • 90-days

GOING FROM DATA SILOS TO DATA INSIGHTS

Data Value Accelerator

 

DELIVERABLES

  • Starter knowledge graph with semantics to contextualize data 
  • New search design for an actionable insights experience
  • Scalable data model so you can add more data over time
  • Roadmap for implementing new search features and future AI/ML

VALUE TO YOUR BUSINESS

  • AI/ML foundation for your organization 
  • Education for your team as we teach while we work
  • Productivity gains with a single, unified search experience

OUR APPROACH

People
    • Strategist
    • UX/UI Designer
    • Full-stack Dev
    • Data Scientist
Process
    • Agile
    • Domain-driven Design
    • Design Thinking
Technology
    • Knowledge Graph
    • Knowledge Panel
    • Enterprise Search
    • Data Visualization
Data
    • Transactions
    • Content
    • CRM / BI
    • People

WHAT'S INCLUDED

  • Education / alignment workshops
  • Current state assessment
  • Data use cases
  • Technology recommendations
  • Feature prioritization
  • Clickable prototype
  • User testing
  • New search platform
  • Product roadmap
  • Actionable Recommendations

TALK TO AN EXPERT

Karen Passmore

 

 

Karen Passmore
CEO, Strategist
LinkedIn

OTHER SOLUTIONS WE OFFER

How we achieve results

Current State
We begin by working alongside your team to analyze the current state of data across people, process, technology and data outcomes.
User Research
We discover what people need and where pain points exist and document findings in personas, journey maps and use cases.
Future State
We turn analysis and research findings into actionable recommendations across people, process, technology and data.
Data Experience Design
We create low-cost clickable prototypes of new search experiences and test them with real users to prove data trust, insights and actions.
UI Design
We work within your brand to add search components and data visualizations for consistent on-brand interactions.
Engineering
Our development team works closely with yours to create an IT approved architecture for front- and back-end systems.
AI/ML
Our data scientists model your data based on domain knowledge and generate a knowledge graph that maps to your business.
Data Governance
To ensure team alignment, we establish a starter governance model for ensuring data is discoverable, trustworthy and interoperable.
Roadmap
We work closely with you to develop a 12-month roadmap that defines opportunities for growth and required investment dollars.

Putting humans first in data experiences

Predictive UX is leading organizations in the design and development of innovative, data-rich products with a human-centered design focus. Our passion and expertise in this space led us to develop a Data Design Framework for unifying content and data that combines traditional Human-Centered Design Thinking with Domain- and Data-driven Design practices to bring the right actionable insights and experiences to users at exactly the right time.

Unify Data

With Our Data Value Accelerator
Get started for free

Outcomes include:

  • Team alignment
  • Knowledge graph business cases
  • Clickable prototype for user testing
  • Initial MVP of a unified search experience
  • Roadmap for further implementation