Tag: Data

SafeGraph’s Data Evaluation Checklist

Research Desk

It goes without saying that data is virtually everywhere. Unfortunately, a lot of it is bad or unusable. Not every dataset has the same capacity to spark new innovations, drive critical insights for timely and life-changing solutions, and answer tough or complex questions.

If you rely on data to do your work well, it’s important to have a fool-proof way to distinguish one data source from another—in essence, the “good” versus the “bad”— to know whether it’s worth your time and investment. Here are a few tips to get you moving in the right direction.

Geospatial Data Ecosystem

Research Desk

SafeGraph compiled a list of providers across the most common geospatial data categories. This list does not include geospatial software providers, although some companies listed do provide both software and data. While we include anonymized mobility data, we have chosen not to include individual-level consumer data or other personally identifiable information (PII). Other categories of geospatial data exist, such as those that include PII. This ecosystem maps the most common geospatial data categories that do not include PII.

2021 Data Maturity Model

Research Desk

2020 brought a lot of change to the data space. Many companies accelerated their use of data and evolved their data maturity as they were forced to create new baselines, identify new customers, and close select operations. This 2021 Data Maturity Model allows you to benchmark your business against today’s standards for data maturity and outlines exactly what it is that data mature businesses have in common.

ESG White Paper Dell Technologies With Microsoft SQL Server

Research Desk

Organizations across industries continue down the digital transformation path. ESG research shows that while 19% of organizations view themselves as having already implemented and optimized several digital transformation initiatives, a majority (57%) of organizations are still on the path, with 18% still in the planning stages.1 Whether modernizing infrastructure, adopting cloud technologies, or becoming more data driven, organizations are continually looking for ways to become more operationally efficient and agile in order to respond to the dynamic, real time needs of the business