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Apr 3, 2019 | By Amy Lin
Companies are dealing with higher volumes of data than ever, and it can be challenging to collect insights from data fast enough to answer the business questions that will drive the company forward. Often, these insights come from being able to respond quickly to questions that were not initially anticipated.
Mar 20, 2019 | By Chris Meier
One of the best parts of working in data is that the industry is in constant motion. Data strategy and tactics, data tools and data team structure are in a state of constant evolution. Amid all those shifts, there are also issues of access, governance and security to stay on top of. No matter what your role is in the data analysis process, there’s always something new to experiment with.
Mar 19, 2019 | By Chris Meier
It’s an exciting week to be a data analyst. The 2019 Gartner Data & Analytics Summit is a chance for me to learn about the hottest trends from the leading experts in the industry. This year, I wanted to do more than just attend the sessions, I wanted to find a way to pass the ideas back to the analyst community.
Mar 15, 2019 | By Franklin Morris
At Periscope Data, we practice what we preach. As the fastest-growing data company on Deloitte’s 2018 Technology Fast 500, we’ve seen firsthand how an empowered data team can transform businesses. Here are a few ways leaders in our lines of business make use of our data team every day.
Mar 12, 2019 | By Periscope Data
We’re closing in on the 2019 Gartner Data & Analytic Summit. Periscope Data will be headed to Orlando to talk about how businesses can use data to make better decisions. Specifically, we’re excited to dig into how attendees and their teams use data now and how they can better use data to answer even more valuable questions.
Nov 19, 2018 | By Periscope Data
Businesses across the globe are rushing to analyze their data and turn insights into competitive advantages. Before you can successfully invest in a data tool, you need to answer a series of important questions. How can you combine the various data sources for a unified analysis? Who will use the platform and what skills do they need? Who will be consuming the data that comes out of these data dives?
Nov 19, 2018 | By Periscope Data
You already know how valuable data can be for your business, but you might not know exactly which tactics will generate business value from your data. The key is building a data team to help translate every business question into a data-informed decision, so you never act on hunches again.
Sep 16, 2018 | By Periscope Data
In this guide, you’ll learn some simple tips for creating data analytics infrastructure using SQL. We’ll go through an explanation of some foundational concepts you’ll need to manipulate your data and make it valuable, with useful SQL code examples at every step along the way.
Sep 1, 2018 | By Periscope Data
Citizen data scientists can bring a lot of new knowledge to the analysis process, but they need to be trained to ensure that they're producing correct conclusions. This guide details steps a team can take to set the stage for analysts from business teams and provide them with the tools and culture they need to succeed.
Aug 1, 2018 | By Periscope Data
With Periscope Data discovery for business, citizen data scientists from a range of business teams will be given direct access to datasets to look for new insights. To help on this search, the Periscope team has compiled some tips to serve as a guide for the exploration, charting and storytelling process.
Periscope Data’s panel of internal data experts and trailblazing customers fields questions about important issues in the data industry. Topics include using data to drive a product roadmap, disaster recovery and best practices for managing users through growth.
There’s a lot of work to do to transform raw data into data-driven decisions. Each company has unique data needs, but there’s a universal need to clarify responsibilities, roles and processes to get the most out of data. Our data-driven panel discusses horizontal vs. vertical workflows, centralized vs. decentralized data teams and generalists vs. specialists.
Preparing clean datasets for company-wide use is one of the most crucial roles of any data team. The data needs to be clean, accurate, reliable and easy for other teams to read. Our data-driven panel dives into the programs that they’ve built to create a single source of truth for their company’s data.
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