About Data Science

Small & Medium Business Enterprises (SMBs) are typically characterized by having less than 500 employees. Forbes publishes an impressive list of these ‘small giants’, who showcase the best in American entrepreneurial spirit.

COVID-19 has disrupted the SMB sector and as the US begins to reopen, the US Chamber of commerce playbook recommends analyzing your sales data, customer behavior and ROI in order to understand what’s working and what you may need to adjust.

In many cases, the pre COVID-19 business model no longer works and a new value proposition needs to be evolved. Kickstarting analytics may be a competitive advantage for small enterprises -including non-profits, as the economy recovers.

In order to adopt and jump start analytics, here are a few key factors that need to be considered:

COVID-19 Is changing analytics spending, with 97% of companies pursuing cloud-based analytics and collaboration technologies for the growing number of analytics professionals now working remotely.

Today, businesses expect analytics to be fast, scalable and easy to use. The key to achieve this is to empower business users and reduce reliance on centralized shared services. The primary challenge remains that only “80% of time [is] spent in cleansing and prepping data and 20% on actual analysis”, increasing the lead to deliver insights and reducing ability to action quickly.

An optimized analytics architecture helps reduce the degree of separation between data and business to bridge this gap. Gartner defines this as self-service analytics.

Here are key levers to optimizing self-service analytics to improve time to decision.

Complete your transition to the Cloud

More than ever, managing your information in a distributed way is important. Not only can it help you realize efficiencies in processing, but it can also allow you to scale up your volumes of data, distribute your support needs and improve overall performance of your software and data driven efforts.