About Data Science

Not being able to tell where to prioritize your investment decisions is not anyone's idea of a good business plan. Whether you're a CEO or a small business owner, you want to build a sustainable company. If you're not able to make data driven decisions about how to solve operational and logistical challenges and anticipate what type of investments will have the biggest impact, you might prioritize the wrong things and throw good money after bad.

Introducing Chisel Analytics

Each year, companies produce volumes of data from operations, transactions, web activity, and IOT, creating an avalanche of information available to those looking to better serve customers and refine business strategy. But by now it’s common to hear that, despite the availability and amount of data generated, companies still struggle to turn their information into insight and the benefits aren’t readily available to every company.

Why?

• Analytics can feel complex. Despite recognizing its potential impact, many organizations don’t know how to capitalize on their information to inform business strategy, improve customer experiences or enhance operations.
• Uncertainty in how to implement — This feeling of complexity can create uncertainty in finding the right talent and setting up the right management structure to support analytics, inhibiting adoption across organizations and putting stress on your hiring efforts.

That’s why we created Chisel. We believe that analytics shouldn’t be complicated.

In short, analyzing data is important because it assists businesses in making decisions. Data is just facts, figures and information waiting to be organized. Analyzing data is the process of organizing those facts and figures to help reveal vital insights into your business, identify problems, and form a plan of action. In that way, data analysis is like a check-up for your business. Analyzing data helps diagnose unexpected strengths and undiscovered inefficiencies in your organization to help you run a more efficient business.