Data Management and Strategy

Data is a powerful thing. When utilized correctly data can illustrate a more informed and comprehensive picture of our products, organizations and users. An organizations data can be complex, therefore developing better products and systems to gather, clean, analyze and display data become a key metric of the success and profit that data can provide.

Data Strategy

Uncovering data opportunities and guiding the vision for transformation organizations to become data-led.

Data Platform Engineering

Ability to design and build data platforms, collecting, streaming and managing enterprise-wide data, ready for analysis

Data Insights

Gain insights from data to inform decision making, including descriptive and diagnostic analytics

Machine Intelligence

Leveraging machine learning techniques to exhibit behaviour, and take autonomous actions from data insight.

Client Examples

Micro-lender

• It takes too long to process loan applications (40-45 days)

• As loans change based on region and over time the system needs to be scalable

Online Classified Ads Startup

• Form based UI is leading to a large drop-off of users

• We would like to gather information from the users ad to organize where the ad should go and how to query for it without having the user enter this information manually

NGO that Operates Hospitals in Disaster / Conflict Zones

• Internet is spotty where our users are however they need to collect data in the moment, how can they use the application while offline and then sync when back online

• The data entered is slightly different based on the user, this creates messy data. How do we correct dirty data and match data that is the same or similar

A Large Network Equipment Manufacturer

• How do we aggregate and organize knowledge across the org?

• How do we automatically gather metadata to allow system to better organize, return and recommend articles the user might be interested in?

Predictive Sales and Maintenance

• As data grows the current solution for generating opportunities for maintenance becomes extremely slow leading to lost opportunity.

• Our users have dropped off due to a lack of customizable features that help them make the tool useful to their goals

Retailer Price Optimization

• Pricing items is a manual process that takes time and doesn't reflect competitive market analysis leading to losses through less competitive pricing

• Pricing should be determined automatically with the data from the market, the POS system and predictive demand information to be more competitive in our pricing

Supply Chain for American Multinational Consumer Goods Company

• Supply chain optimizaton to reduce workforce of planners and increase automation for proper supply distribution

• We would like a system to automatically detect events in our sales systems and business systems and take action to ensure the supply chain reacts appropriately

Anomaly Detection in Leading International Investment Bank

• System downtime costs potentially millions in losses and an early detection or warning of system downtime would greatly alleviate the cost

• The least stable portion of our products is the shared underlying infrastructure