The KPIs that apply to each product are as different as products come. There are infinite variables that come into play when determining what exactly a KPI should be. Because these KPIs are centered around customer journeys, they are all user-based and purposely omit technical-based KPIs (such as crashes or errors). In a recent article in our Product Analytics Academy, we covered what makes a strategy a good one when understanding and choosing relevant metrics to form KPIs based on product analytics.

The Covid-19 pandemic has resulted in an unprecedented global economic landscape that is dominated by loose monetary policies, low borrowing costs and influx of capital in the equity markets. Against that backdrop, Mergers and Acquisitions (M&A) activity has surged since 2021 as companies are trying to take advantage of the current environment and adapt to the new business realities shaped by the global pandemic.

The first step in most analytical workloads is to ingest the data that you need for your analysis into your data warehouse. For geospatial analysis involving point, line, or polygon data, ingesting data can be complex because geospatial data comes in myriad data formats. Two of the most popular geospatial formats are GeoJSON and GeoJSON-NL (newline-delimited geoJSON).

There are a wide variety of e-commerce software platforms out there—Shopify, BigCommerce, Magento, WooCommerce, PrestaShop, Ecwid, and more—each with its own e-commerce features and functionality. But beyond the question of the "best e-commerce platforms," how can you enhance these platforms with third-party integrations? As we all know, integrating your e-commerce store with other apps and services helps you run your business more efficiently and effectively.

A data pipeline is a series of actions that combine data from multiple sources for analysis or visualization.

How can tracking and improving lead velocity rate help your SaaS business’s health? Get the breakdown from 10 SaaS experts.

In 2019, global venture capital investment in Fintech totaled at least $33.9 Billion. For years, the incumbent players had been warning the sector that when the next recession hit, or when fintech faced a “real” crisis, that the sector would, at worst, collapse, and, at best, see a whole bevy of fintech players disappear

Today’s business leaders face an uncertain economic landscape. In the aftermath of unprecedented business disruption in 2020, organizational decision-makers are turning their focus to new concerns. According to McKinsey research, supply chain disruption, inflation, and a growing labor shortage are now top concerns for the C-suite.

Data Science tools, algorithms, and practices are rapidly evolving to solve business problems on an unprecedented scale. This makes data science one of the most exciting fields to be in. As exciting as it is, practitioners face their fair share of challenges. There are well-known barriers that slow down predictive modeling or application development. Finding the right data and getting access to it are two of the top pain points we hear from our customers.