Data mining is a process used to turn raw data into useful information. It is the practice of automatically searching large stores of data to discover patterns and trends that goes beyond simple analysis.
At Zresta, we implement data mining techniques to find anomalies, patterns and correlations within large data sets to predict outcomes. We can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and many more.
Our process includes:
Zresta’s data projects are inspired by CRISP-DM (CRoss-Industry Standard Process for Data Mining) model. Over years CRISP-DM has proved to be the most consistent methodology for data projects. The basic principles of the model are application neutral, providing solid framework for data projects. We have combined basic principles of CRISP-DM with our years of industry experience. The result was adaptable-application neutral-continuous feedback capable process.
At Zresta, we emphasize on using agile project management for data projects as that gives us opportunities for continuous feedback from customers and allows us to practice done-done methodology to avoid reworks. With our extensive work experience across industries, we have realized the importance of waterfall project management during initial phases of data project to keep all the stakeholders well informed and involved. Thus, at Zresta for any data project we use waterfall methodology – allowing us to clearly define and document project requirements. For later data development phases we implement Scrum methodology to get continuous client feedback and provide a usable – deployable outcome after each iteration.
Get a head start on your innovative product idea.
Collect data from across the web, add tags and properties, create stunning data visualizations.
Interpret the meaning behind your data.
From multiple excel files to shared
dashboard.
Recover millions by continuous audits of
your AP records.
Make data driven decisions.
Create strategic plans to reduce spend, plan
and track initiatives.
Share data across streams.
Lets get in touch. Send us a message:
Houston, Texas
Phone: +1 2819420537
Email: hello@zresta.com