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Feb 14, 2019 | By Trinity Nguyen
Building an end-to-end BI and analytics platform during the modern data explosion is an exciting challenge. With so many businesses turning to data to answer new questions and build new competitive advantages, data usage is expanding at an incredible rate and being analyzed deeper than ever before.
Feb 12, 2019 | By Greg Strickland
When I started my career as a business analyst, my core responsibility was reporting. At the time, that meant doing a lot of work with pivot tables and vlookups in Excel, printing off the results and mailing them to individual business units. It was a manual, laborious process, but I remember that my biggest frustration with the work was never the papercuts or the monotony, it was that I felt like there was something missing.
Feb 6, 2019 | By Adam Luba
Data professionals are often tasked with finding a correlation between variables in a dataset to determine if one variable (the x) can be a strong predictor of another (the y). For those new to this type of analysis, a great place to start is with linear regressions. Linear regressions involve fitting a set of independent and dependent variables to a linear equation that attempts to find any sort of correlated relationship.
Feb 4, 2019 | By Trinity Nguyen
Choosing a BI platform is a big decision. There are a lot of factors to consider as well as significant impact on every line of business and the way employees function across teams. To make it easier to determine between Periscope Data and Looker, we’ve boiled down the differences between the two BI platforms into a series of four big questions.
Feb 1, 2019 | By Lauren Gimmillaro
For years, business, sales and marketing executives have been looking for opportunities to use data in new ways to revolutionize how they understand their business. These leaders are digital transformation and analytics champions and they see business insights differently — not as a means to one-off process improvements or cost reduction opportunities, but as a part of a new generation of customer experiences.
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.
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.
The best data teams provide value by empowering analysts on other teams to easily answer their own questions. Our data-driven panel discusses the use of data documentation, sandboxes, standardized queries and more as a means of providing the best self-service experience.
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.