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The Sagence Connection

For CRM success, don’t do data mining; farm your data instead

Posted by Sagence

11/11/14 10:41 AM

High-performance data analytics has moved well beyond one-off data mining. It is now a key part of continual improvement processes. At the most mature companies, Customer Relationship Management (CRM) resembles agriculture in the cultivation and improvement of tested best practices. This article looks at what 20th century advances in analytic-driven agriculture, and the resulting explosion in productivity gains, can teach us about the value of implementing a long-term value CRM approach.

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Topics: Enterprise Analytics

Is Your Spidey Sense Tingling? The Three C’s of Web Scraping

Posted by Sagence

8/5/14 6:00 AM

Spiders, crawlers, or scraping may sound like things that go bump in the night, but they are as common as your next Google search.

What are web scraping, crawling, and spiders? Are they legal? What can they be used for? In this blog, we explore the three C’s of web scraping and how firms can start turning the web’s unstructured data into meaningful insights.

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Topics: Enterprise Analytics

Crank Up the Volume with Social Media Sentiment Analysis

Posted by Sagence

5/9/14 10:54 AM

Several papers have been published recently on how to use social media sentiment analysis to affect decisions from which company’s stock to buy or what market segment to pursue. This post focuses on using social media posts to immediately gauge customer reactions to gain product insight and increase brand engagement. 

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Topics: Enterprise Analytics

How Not to Commit the Big Data Mistake

Posted by Sagence

4/24/14 5:30 AM

Don’t be guilty of committing the Big Data mistake. Here are five common requests raised by those warning us against the Big Data mistake.

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Topics: Data Sharing, Data Management, Enterprise Analytics, Data ROI, CDO Agenda

Einstein Knew the Secret to Data Science. Do You?

Posted by Sagence

3/24/14 9:26 AM

When does your analysis stop delivering additional value and simply become more complicated? Einstein knew the answer. Do you? Read more to find out.

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Topics: Enterprise Analytics

The Tsunami of Big Data: Data or Algorithm?

Posted by Sagence

3/4/14 5:30 AM

Take advantage of the tsunami of Big Data—not by examining more of the same but by leveraging the variety of data not already studied.

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Topics: Enterprise Analytics

What Can Services Companies Learn From Motorcycle Racing? Quite a “Bit.”

Posted by Sagence

1/23/14 6:42 AM

If you thought advancements in motorcycle racing over the past 30 years were mechanical, guess again. Services companies could learn a thing or two from the purpose-built sport of MotoGP. Welcome to the data-driven world of motor sports with data acquisition systems that provide real-time monitoring and feedback for engineers and racers plus data visualization capabilities that enhance the consumer experience.

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Topics: Enterprise Analytics

Driving Healthcare Value Through Consumer Engagement Analytics

Posted by Sagence

1/6/14 5:00 AM

Whether you are a marketing executive at a large national PBM, a product development executive at a leading health insurance company, or state public health official, in the new world of healthcare, you must be able to answer critical questions about your member population unlike ever before. 

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Topics: Enterprise Analytics

Who Wins in GoldieBlox vs. Beastie Boys PR Battle? Let’s use R and Social Media Sentiment Analysis to Find Out

Posted by Sagence

12/20/13 5:30 AM

GoldieBlox, a company that sells toys to young aspiring girl engineers, and The Beastie Boys are caught up in a lawsuit over a video ad that went viral. Was it a futile ploy or PR genius? Using social media sentiment analysis and R, let’s analyze tweets to better understand the impact.

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Topics: Enterprise Analytics

Data Visualization: Find a Better Approach

Posted by Sagence

12/13/13 5:00 AM

Visualization is more of art than it is science. There are many categories of visualization including, but not limited to: time series, part to whole, deviation, distribution, multivariate, correlation, outlier analysis, cluster analysis, heat maps, and geospatial. To help understand what is available, let’s examine some sample categories of visualization focusing on the first four categories for now.

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Topics: Enterprise Analytics

   

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