Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

JULY 17, 2019

Also, explore our guide to KPI management and learn from a host of helpful best practices. 3) Consider your data sources. The next stage in the ‘how to create a KPI report’ process boils down to taking a detailed look at your data sources. click to enlarge**. KPIs used: Customer Acquisition Costs. Customer Lifetime Value.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. New data suggests that pinpoint or targeted efforts are likely to be more effective.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52