CASE STUDIES – DATA & AI INTEGRATION
EVALUATING THE POTENTIAL OF MACHINE LEARNING SOLUTIONS TO QUICKLY AND EFFECTIVELY MONETIZE ENTERPRISE ASSETS
IMPACT
Lynda’s careful analysis enabled the selection of an ideal solution that balanced the time-saving capabilities of automation with the accuracy of human modulation. This solution outlined how the company could maximize its gains from image monetization and realize additional annual revenues of multi-millions.
CLIENT
Global leader in mass media (US$2.3-billion annual revenue).
INDUSTRY
Media.
CHALLENGE
Like many of its competitors, a global industry leader in media and entertainment had an opportunity to monetize millions of undigitized assets. By using machine learning to add rich metadata to images, the company could expedite a task that would take years for humans to do manually. Understanding the capabilities and suitability of current machine learning vendor solutions was challenging. The company needed guidance on how to evaluate market solutions and determine the right approach to move forward.
STRATEGY
TREYEO founder and chief strategist, Lynda Tonery, worked closely with the company’s head of international licensing to analyze and evaluate options. The core of the strategic decision-making required consideration of both short- and long-term solutions in light of the volume of images, the data quality, known risks and challenges, resource requirements and revenue opportunities.
Engaging with vendors, participating in Q&A sessions, and defining the pros and cons of each solution in terms of time, resources and other important criteria were key to evaluating each machine learning vendor solution. The ideal solution had to strike a balance between the speed and accuracy of automation over manual labeling images.
SUPPORTING THE DEVELOPMENT OF A DATA ANALYTICS STRATEGY TO ENRICH THE QUALITY OF MEMBER PROGRAMS
IMPACT
Lynda’s strategic solution yielded the actionable data and insights used to build a data analytics platform that supported the development of high-quality Medicaid programs for over 600 program members statewide.
CLIENT
US state government healthcare agency.
INDUSTRY
Healthcare Services.
CHALLENGE
As demand for state-level Medicaid services increases, so does the pressure to shrink Medicaid budgets. A state government healthcare agency with an annual budget of US$6-billion for health and human services recognized an opportunity to use data analytics to improve services for its neediest members.
The state’s Medicaid program data came from 8 separate agencies and 20 different sources. Existing systems often produced contradictory or inaccurate information. This often led to delays in processing claims and delivering suboptimal services for critical programs. The agency needed a clearly defined, carefully structured data strategy. To support high-volume, high-speed data analytics processes, the state agreed to invest US$8-million in a new data analytics strategy and technology solution. A robust solution would give agencies the chance to evaluate and build improved Medicaid programs for veterans, child welfare, the elderly, public health, and disabled members.
STRATEGY
TREYEO founder and chief strategist, Lynda Tonery, built a strategic solution prefacing the importance of clearly defined executive information requirements and an examination of data analytics options. Lynda implemented these key strategic steps:
- Leading a team of 3 data analysts and 25 program managers in defining decision-making information requirements;
- Establishing a Data Governance and Standardization Committee to resolve data quality issues and approvals;
- Working with program managers and select end-users to train new data experts, and build trust in data analytics across agencies; and,
- Leading workshops and training sessions demonstrating how the new solution could provide sophisticated insights quickly and easily.
DESIGNING A BUSINESS INTELLIGENCE SOLUTION FOR CASH REPORTING AND ANALYSIS TO DELIVER MORE VALUABLE INSIGHTS INTO CASH MANAGEMENT
IMPACT
Lynda’s analysis lead to the firm’s approval for her proposed cash management business intelligence solution. The firm expressed appreciation for the flexibility in the staged implementation plan that allowed it to start small and realize benefits early, with the option to add more value-driving features as desired.
CLIENT
US private investment firm (US$1-trillion assets under management).
INDUSTRY
Financial Services.
CHALLENGE
A US private investment firm needed to reappraise and redesign its cash management functions. The firm’s assets under management were growing rapidly, making the management of cash reporting increasingly cumbersome. Manual reporting was time-consuming, labor-intensive, and prone to human error. Ever-growing requests to analyze current and historical cash data and generate useful insights were slowing down executive decision making.
The firm’s then-existing technology roadmap did not include a solution that analyzed current and historic cash flow. The business leaders knew that a business intelligence system could drastically streamline data reporting and analysis.
STRATEGY
TREYEO founder and chief strategist, Lynda Tonery, proposed a business intelligence solution based on the evaluation of current and future cash management needs.
Lynda’s strategy outlined how to elicit cash management requirements, outcomes to be accomplished and a timeline and budget. Key strategic steps included:
- Leading cash analysis brainstorming sessions with the company’s finance team;
- Modeling scenarios to confirm understanding of current and past information and reporting requirements;
- Sourcing relevant data components and evaluating data quality;
- Delivering a comprehensive use case document detailing requirements of cash management; and,
- Developing a star schema data model to illustrate data components and confirm data relationships.
Analysis revealed that cash management reporting could be streamlined with a straightforward business intelligence solution. The solution proposal included key insights, KPIs, costs, and timeline for implementation.
IMPLEMENTING AN ANALYTICS MANAGEMENT SOLUTION TO DEPLOY ADVERTISING CAMPAIGNS FASTER AND GROW REVENUE BY MILLIONS ANNUALLY
IMPACT
The solution was rolled out on-time, within budget, and streamlined the management of third-party vendor analytics solutions, yielding benefits exceeding those anticipated:
- Increased the ability to capture millions of dollars in lost revenue;
- Enabled 5 times faster testing of third-party vendor analytics solutions for advertising and consumer marketing campaigns; and
- Saved tens of thousands of dollars on website development labor costs annually.
CLIENT
Global leader in mass media (US$2.3-billion annual revenue).
INDUSTRY
Media.
CHALLENGE
To stay competitive amidst sharply declining print advertising revenues in the media industry worldwide, a global leader in mass media required a technology solution to centralize management of third-party vendors analytics solutions. The company had almost 100 vendor analytics tracking solutions embedded across webpages of 30+ brand websites, which received billions of consumer visits per year. The analytics solutions tracked consumer behavior providing insights for developing advertising and consumer marketing campaigns.
New campaigns often required testing a new analytics-tracking solution to validate its promised benefits. Testing required website development time, which could be slow and costly across 30+ websites, limiting how quickly a campaign could be implemented and missing opportunities to increase revenue.
The key challenge to implementing a new centralized analytics management solution within 12 months, migrating almost 100 third-party vendor analytics solutions to a centralized analytics management solution, was multiple competing demands for the same analytics and technical resources.
STRATEGY
TREYEO founder and chief strategist, Lynda Tonery, coordinating a team of 14 board and steering committee members and 26 website development leads, led vendor evaluation and selection, project scoping and budget planning, and monitoring of the analytics management solution implementation and progress.
Lynda outlined a strategy to achieve the company’s goals in 12 months, earning buy-in from the steering committee. Involving senior executives from across the enterprise (e.g., advertising operations, consumer marketing, analytics, technology, revenue, operations) in strategic decision-making and communicating regular progress was key to keeping the initiative on track.
