December, 2015

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This holiday season, give me real insights

Data Science and Beyond

Merriam-Webster defines an insight as an understanding of the true nature of something. Many companies seem to define an insight as any piece of data or information, which I would call a pseudo-insight. This post surveys some examples of pseudo-insights, and discusses how these can be built upon to provide real insights. Exhibit A: WordPress stats This website is hosted on wordpress.com.

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Finding Data Quality

Jim Harris

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? In the spring of 2003, Pixar Animation Studios produced one of my all-time favorite Walt Disney Pictures— Finding Nemo. This blog post is an hommage to not only the film, but also to the critically important role into which data quality is cast within all of your enterprise information initiatives, including business intelligence, master data management, and data gover

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Replacing Sawzall — a case study in domain-specific language migration

The Unofficial Google Data Science Blog

by AARON BECKER In a previous post, we described how data scientists at Google used Sawzall to perform powerful, scalable analysis. However, over the last three years we’ve eliminated almost all our Sawzall code, and now the niche that Sawzall occupied in our software ecosystem is mostly filled by Go. In this post, we’ll describe Sawzall’s role in Google’s analysis ecosystem, explain some of the problems we encountered as Sawzall use increased which motivated our migration, and detail the techni

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2016 Data Predictions from Gaurav Dhillon

In(tegrate) the Clouds

Gaurav Dhillon , the co-founder and CEO of SnapLogic , who also co-founded Informatica in the early ’90’s and was CEO of that company for 12 years, posted 4 data predictions and 1 market prediction this week on LinkedIn and the SnapLogic blog. His predictions are as follows: Data Eats the World and Integration Strategies Will Drive Digital Transformation.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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How Data Visualization Can Help Governments Address Societal Challenges

TIBCO

Until recently, data analytics and data visualization tools have commonly been used by cities and government agencies to address societal challenges such as congestion, crime, and municipal services. But increasingly, government officials are applying these tools to help fight poverty and other forms of social inequality. For instance, at the 14 th Convening of the Project on Municipal Innovation–Advisory Group, which recently took place at the Harvard Kennedy School in Cambridge, MA, one of

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IFC Logistics' Journey to Invisible Infrastructure

Nutanix

Phillip Beal recently sat down with us to discuss IFC’s transition from on-premises IT to a managed service from Nutanix partner, Advantage Technology Solutions.

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Nutanix at the Gartner Datacenter Conference 2015: Elevating IT to Business Outcomes

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

IT 20
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Nutanix at the Gartner Datacenter Conference 2015: Elevating IT to Business Outcomes

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

IT 20
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The Rise of the Apprentice

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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The Rise of the Apprentice

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.