- Analytics & Modeling
- Platform as a Service (PaaS) - Data Management Platforms
- Business Operation
- Software Design & Engineering Services
TLC’s approach to organizing high-quality data for analysis and distribution across the company and to clients was both labor-intensive and extremely time-consuming. Client data wasn’t being retained in any real meaningful fashion with data analysis and reporting was mostly done manually and managed in extremely complex Excel spreadsheets.
On top of this, report delivery was done on a monthly basis by email and the sheer size of the spreadsheets was becoming problematic. Their data was triple the size of what any cloud-based system could handle and the need for superior reporting and analysis in a timely fashion to maximize fundraising was imperative.
Lukens Company (TLC)
The Lukens Company (TLC) is a full-service marketing agency specializing in direct response marketing, fundraising, membership, and donor development. They were using a reporting system that required manual manipulation of data, which was then processed in Excel and Word and distributed on a monthly basis via email. Their source reporting data had become so large that it was becoming impossible to produce meaningful results in a timely fashion. As the Director of Analytics for TLC, Erik Pfalzer was tasked with finding a good solution. After implementing Sisense, TLC saw a 25% increase in overall company productivity.
After testing software from a number of leading BI vendors, Erik chose Sisense. With easy-to-build dashboards that allowed for customized reporting, fast data handling, and manipulation, Sisense was the most flexible and cost-effective solution Erik researched.
On the server side, Elasticube, Sisense’s data cube, builds and dashboards allow TLC to get near-realtime results to queries. The main cube is built out of over 200 million records in MariaDB and only takes a couple of hours to generate. All the campaign reporting is built into the system, which allows both the internal users and external clients to be able to access and analyze the various metrics at any time.
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