Advisory Services

WLDA Advisory Services

WLDA offers a host of advisory services to support your company’s specific technology, leadership, and growth needs.

Our faculty of WLDA Women Leaders bring their decades of experience, to provide solutions to your challenges and demonstrate opportunities across the shifting landscape.

Our leaders build value across departments and help to ensure your data and leaders are strategic advantages. They provide insights on topics including leadership, data strategy, data governance, data quality, data architecture, analytics, data science, ML, AI, and data and cloud.

For more information on our services, email at Membership@WLDA.Tech

Data Strategy

In the world of data you need a leader to guide, advise, mentor, validate, and create the path. Full time resources are expensive. WLDA’s Strategy Advisory is a fractional advisory service for CD & AO roles where you can retrain services for a fraction of the time and cost.

Helps provide direction, roadmap, validate architect, design, development and execution plan.

Sample services include: 

  • Data Strategy, Vision & Roadmap
  • Data Monetization
  • Making Data Product Organization
  • Organization Operating Models

Leadership

In the world of data you need a leader to guide, advise, mentor, validate, and create the path. Full time resources are expensive. WLDA’s Strategy Advisory is a fractional advisory service for CD & AO roles where you can retrain services for a fraction of the time and cost.

Helps provide direction, roadmap, validate architect, design, development and execution plan.

Sample services include: 

  • Board training
  • Career development
  • Coaching packages
  • Crucial conversation on influencing stakeholders
  • Change mgt and training
  • Selling to Business/CxO’s

Data Governance & Data Quality

 

Data Governance and Data Quality efforts help make organizational data consistent and more data accurate and complete. This enables maximizing the use of data to make decisions and improving business planning and financial performance.

Helps provide direction, roadmap, validate architect, design, development and execution plan.

Sample services include: 

  • Data Governance 
  • Data Governance Maturity Model
  • Data Quality 
  • Master Data Management

Data Architecture & Engineering

Data architecture and engineering are foundational practices that help organizations become data driven. Data architecture comprises the data models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Data Engineering optimizes business insights tools, and machine-learning.

  • Data Modeling
  • Data Lake /Data Warehouse
  • Data Security and Protection
  • Big Data
  • Metadata Management
  • Managing different data types

Analytics

Analytics is the process of discovering, interpreting, and communicating significant patterns in data. Organizations can apply analytics to business data to describe, predict, and improve business performance. Focus includes data visualization and data storytelling and people-process-technology associated with success analytics outcomes

  • Analytics Operating Model & Roles
  • Technology/Tools
  • Story Telling w/ Data

Data Science, ML & Artificial Intelligence

Holistic playbooks and toolsets that enable you to move your organization from exploring and experimenting AI pilots to scaling AI initiatives. Best practices of AI technologies including machine learning and deep learning along with its application in computer vision, natural language processing to harness huge troves of data to make accurate predictions and to unearth hidden insights.

  • AI Use Case
  • AI Technology & Tools
  • Ethics in AI
  • Data Pipelines for AI & ML
  • AI Playbook

Data on Cloud

 

Data and cloud advisory include building business case for data on cloud, migration strategy with implementation roadmap and best practices on cloud technology selection and execution, lesson learned and success business cases.

  • Cloud Vendors/Options
  • Cloud Vendors/Options
  • Migration strategy
  • Hybrid Models
  • Cloud Infrastructure
  • Data as a Service
  • Data Migration for ERP & CRM implementation