Work

Many businesses still live in a world of downloading CSVs, doing sporadic data analyses in Excel or Google Sheets across different divisions, creating ad-hoc reporting when certain meetings come around, and then worrying about the reliability of key metrics because people have created different versions of the same thing.

Lawrence helps clients get to a place where they are using their data easily and reliably to drive efficient growth in their businesses. For those who aim to optimize decisions and operations, it is unacceptable to not have clarity on where business-critical data is living, what the important metrics are, and what teams should be looking at on a daily basis to improve performance.

Data Visualization

Many businesses have some idea of the metrics that indicate the health of their operations, however still work out of manually updated spreadsheets to get this information. Even worse, some businesses are not even sure on what data points to follow and only visit them at irregular intervals when it is deemed important.

Automatically updated, dynamic dashboards which allow teams to manipulate data points across multiple dimensions such as team members (e.g. sales figures), time periods (e.g. change in search rankings), or locations (e.g. productivity of assets), can be invaluable to teams wanting to keep an eye on the pulse of their business and continue to find efficiencies in process.

Lawrence can evaluate disparate data sources, set up the required automations and work with teams to design essential dashboards that will be a daily tool for driving growth.

Data Integration/Pipelines

With the rise of SaaS products in every industry, businesses don’t always have to develop their own software internally to achieve their process goals. However, leveraging multiple SaaS products means data on various parts of the business lives on different platforms. e.g. business sales data could be in one system, and data on physical customer interactions is in another, and newsletter data is in another.

Attempts at trying to take direct ownership of this scattered data for record-keeping purposes and data analysis can get complex and at best usually ends up as being a folder of CSVs.

Lawrence can provide the data infrastructure and integrations between multiple systems, leveraging platform APIs so that disconnected data can be easily warehoused and analyzed.

Data Cleanup

Over time it is not uncommon for businesses to use many different platforms or systems and inevitably, data becomes inconsistent or unreliable. These challenges can arise for various reasons such as different field names, inconsistent standard data values, and just not having resources who take responsibility for data consistency.

Lawrence helps businesses to take back control of legacy data so that teams no longer have to refer to their old datasets by saying “That’s in a different system which we don’t really use anymore” or “That’s saved across a few Google spreadsheets”.

Data Visualization

Data Integration/Pipelines

Data Cleanup

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