You cannot deliver projects without good data.
Ideally, it is fixed in the source systems, but often these are old and hard to update, so at least make fixing data a repeatable process until the source can be updated by either Data Robotics or human hand.

Some recent examples ;


We used Alteryx desktop analytics to gather data from multiple systems, implement business rules, augment from spreadsheets and then output the required five files.

The initial outputs were delivered in 2 days, but this was then iteratively improved until delivery of the final dataset while the business remediated the source systems. A new set of files was producable in 5 minutes from the desktop, all without requiring precious internal IT resources.

Sanctions and Screening

We are using Alteryx to compare different sets of data using complex, yet code free, fuzzy matching to provide comfort that customer data is being screened.

Budgets and Targets

Automating the combination and presentation of data from multiple sources to provide Actual figures, then splitting the data and sharing with the responsible managers for them to add expected revenues.
The combined data is validated and presented to the COO, cutting down a previously highly manual task. 


Using WhereScape 3D & RED we trained a business analyst resource to build an automated data warehouse with built in data lineage to replace the highly manual processes and provide quality Management Information and Customer data synchronised automatically into the CRM system.

Hedge Fund Profitability

Combining data from multiple sources, marking to market and generating multi currency accruals to balance the G/L.


We also know lots of very good people, and will refer you to an expert if your requirement isn't mentioned above.

Dan understands data and works with businesses to produce sensible requirements for what they need, then works with project teams to deliver innovative solutions.
— Mohammad Jahanbin, Head of Quantitative Research, Maple Securities Hedge Fund