Periscope Data

2012
San Francisco, CA, USA
Jun 13, 2019   |  By Ryan Waters
In today’s business landscape, the only thing better than building a tech stack to answer questions with data is building a more efficient stack to answer those questions even faster. Every step of the data analysis workflow is an opportunity to shorten the amount of time it takes to uncover data-driven insights. For each of those discoveries, faster analysis translates directly to increased value from the insight.
Jun 6, 2019   |  By Amy Lin
Once you’ve decided to make the move to embedded analytics, you’ve taken a huge step in increasing your company’s overall data maturity. The next step is to determine how you get from where you are now to a point where your embedded analytics are running smoothly. For most companies at this stage, it’s time to decide whether you’ll build your own solution or purchase these capabilities from a third party.
Jun 4, 2019   |  By Adam Bonefeste
If you’re in Stage 1, your company can do standard business reporting. You are pulling data from your individual sources (Salesforce, Marketo, Facebook, etc.), but you’re not capable of blending that data to run queries across multiple sources. At this stage, you’re downloading data from your solutions and using it to track progress, but you can’t ask new questions of the data.
May 30, 2019   |  By Tom O'Neill
Every day, companies are making incredibly significant decisions based on data. These decisions improve products, alter prices, enhance customer experiences, keep people safe and even change lives. But as game-changing as those daily outcomes are, we know that the most critical decision a company makes about data is choosing its technology stack to support the data analysis workflow.
May 28, 2019   |  By Franklin Morris
Once you understand the differences among the five distinct stages of data maturity, it’s time to examine your own data process and determine how mature you are. The way to do this is to answer a series of questions. When considering your answers to these questions, be as honest as possible. It’s good to have aspirations to make your team more mature with its use of data, but you can’t skip steps in this maturation process.
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.
Apr 24, 2019   |  By Periscope Data
Learn how our customers use Periscope Data for product management.
Apr 2, 2019   |  By Periscope Data
Whether you’re running queries or running businesses, Periscope Data helps everyone in your company answer complex questions using data.
Jan 14, 2019   |  By Periscope Data
Periscope Data's Harry Glaser presented at the ODSC West Conference in 2018 about data teams and their ethical and moral role in managing AI.
Dec 17, 2018   |  By Periscope Data
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.
Dec 17, 2018   |  By Periscope Data
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.