Enterprise Customer Data Platform - Treasure Data Blog - Part 8

September 8, 2017

5 Data Management Practices Agencies Should Consider

Agencies are struggling to differentiate their offering and although there is a lot of talk and investments being made in data, there is little guidance available. Here are 5 data management practices that agen...

August 31, 2017

Expert Interview Series: Paul Robertson of Phocas Software on the Effective Use of Business Intelligence

Paul Robertson is Head of Digital Marketing at Phocas Software, which helps wholesale distributors, manufacturers and retailers discover opportunities to increase sales, reduce costs and get a better visibility...

August 17, 2017

Enhance Twitter Tailored Audiences with Unified Data

Treasure Data's new Twitter Tailored Audiences integration enhances Twitter Tailored Audiences by enabling you to reach your target audiences dynamically and automatically based on your customer data stored in ...

Top Ten Tricks to Maximize Your Social Reach for B2B Enterprises

In December I was given a new area of responsibility (social media manager for a B2B start up) and since then I have been managing all organic and paid campaigns for our Facebook, Twitter, LinkedIn and Instagra...

Efficiently Analyze Infinitely Growing Data with Incremental Queries

Stream data processing, a type of data processing that is designed for infinite data sets, is an efficient way to deal with ever-growing, unbounded data that is increasingly common as an object of analysis for ...

Expert Interview Series: Zach Gemignani of Juice Analytics on the Value of Data Storytelling

Zach Gemignani is co-founder and CEO of Juice Analytics, the innovation leader in data storytelling. Here, Zach shares his insight on the power of data storytelling and what organizations should be doing to har...

How a “Big Six” Studio Quadrupled Data Analysis Speed with this One Simple Technique

A major entertainment company speeded up query time from hours to minutes by a simple technique: replacing COUNT(DISTINCT x) with APPROX_DISTINCT(x). Why Should I Care? COUNT(DISTINCT x) and APPROX_DISTINC...

Exostatic and Treasure Data Bring Innovation to Data Driven Companies

Montreal, Canada and Mountain View, CA - June 29, 2017 - Exostatic, a leading data driven consultancy and Treasure Data, the leading Live Customer Data Platform, announced its successful partnership enabling co...

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