Sector:

Alternative Medicine

Challenge:

No centralized data, data not clean, slow reporting system, no data-driven culture, outreach efforts not tracked.

Our solution:

Provide a full data warehouse solution, including a CRM-enabled data mart to track outreach ROI.

Benefits:

• Ability to have real-time read on business.
• Ability to increase profit generating activities and tweak ROI-negative work.
• Ability to understand customers and predict revenue, LTV and churn.

Sector:

MarTech

Challenge:

Difficulty in measuring marketing ROI due to the complexity in matching offline user purchases with online media impressions.

Our solution:

• Create an automated Multi-Touch-Attribution Platform.
• Gather purchases from a loyalty provider and impressions from a DMP, and through a clean room, double-blind matching algorithm provide online media attribution and ROI.
• Optimized digital campaign recommendations. (placement, sites, size, type…)

Benefits:

Fortune 100 companies are able to get granular insights and ROI on their digital marketing spend. They can tweak their digital media campaigns (placement, sites, size, type…) to optimize ROI.

Sector:

Media

Challenge:

To better understand customers, their value, and how to properly reach them.

Our solution:

• Deliver clear, concrete step-by-steps on evaluating vendors and separating challenges from vendor solutioning.
• Provide clear data inventory and validation guidelines and process to base model on.
• Recommend models to measure marketing ROI.

Benefits:

Data Science team able to generate LTV models and prepare churn modeling.

Organic growth by triple digits year-over-year.

Sector:

Healthcare

Challenge:

Ensure processing advanced analytics on the cloud scales while maintaining HIPAA rules.

Our solution:

• Provide a HIPAA-ready cloud architecture.
• Provide ways to handle PHI separation of data by leveraging PII double blind algorithm through de-identification.

Benefits:

Scale analytics within compliance regulations on the cloud at will.

It is now growing rapidly and hiring director level positions.

Sector:

Consumer Packaged Goods

Challenge:

While billions of dollars of marketing allocation across fortune 500 organizations were being recommended, none were warehoused as benchmarks for further work.

Our solution:

• Create a data warehouse of 10+ years in global marketing spend/ROI containing more than $10B in marketing spend and +2000 projects.
• Create an API system to get surrogate ROIs for similarly performing campaigns.

Benefits:

Monetization of best-in-class rich ROI data set with digital power players.

Create a simple product predicting marketing ROI without an historical Mix study.

Sector:

Retail

Challenge:

No easy way to marry different data provider market research data to get additional insights. Most of the manufacturers perform that work manually.

Our solution:

Leverage proven data engineering pipelines to automate ingestion, harmonization and insights across multiple data providers.

Benefits:

Create an insights platform where retail players can get insights without the manual work.