Data Analytics

CEM Top Ten #6: Creativity and Innovation Are Not in a Battle with Data and Analytics

By David Rosen | Published April 26th, 2016
Data and analytics allow each element of marketing capability to thrive.

In this era of digital transformation, there has been a lot of discussion about the role of traditional brand marketing in today’s organizations. Lists of “most important skills for marketers” routinely rank skills like big data, data analytics, data visualization, predictive targeting, mobile technology, coding, and UI expertise at or near the top for both new college graduates and CMOs.

Using Data Analytics To Improve Local Government in Massachusetts

By TIBCO Staff | Published April 12th, 2016

With all of the technology available today, it would seem that data-driven government would be the norm rather than the exception. However, it doesn’t appear that local governments are taking advantage of massive amounts of data they collect to operate as efficiently and as effectively as possible–at least not in Massachusetts, according to Michael Ward, director of municipal services at the Collins Center for Public Management at UMass Boston.

Why Data Analytics is Set to Slay Corporate Silos in 2016

By Maurizio Canton | Published February 22nd, 2016

Silos, not the tall towers used for grain storage, but the pesky divisions and hierarchies that are rampant across many organizations and largely resistant to destruction.They take many forms, and once established, prove to be tenacious and embedded; keeping people in their boxes, marginalized and isolated, cementing a ‘them and us’ culture, which remains the perennial gripe of corporate life.

The Heart of IoT: Data Analytics

By Ernesto Ongaro | Published February 3rd, 2016

Every large-scale technological breakthrough is often accompanied by a data delivery breakthrough. This has been true in the past and we are living through another shift. Lets take a quick stroll through history to understand this evolution, to where we are today, and what the future holds.11

How Data Visualization Can Help Governments Address Societal Challenges

By Spotfire Blogging Team | Published December 9th, 2015

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.

Financial Services Firms on the Hunt for Data Analytics Talent

By Spotfire Blogging Team | Published December 7th, 2015

Increasingly, banks are looking to analyze and act on the large quantities of valuable customer information they collect in order to deliver the right products and services to existing clients as well as high-value prospects. Additionally, as banking customers take advantage of faster, more agile digital banking services, retail bankers are assessing how they deliver tailored customer experiences to increase revenue.

The State of Data Analytics in the Cloud

By Spotfire Blogging Team | Published December 2nd, 2015

The use of cloud-based analytics is gaining widespread adoption, according to Ventana Research. In a recent survey, almost half (48%) of the 214 companies surveyed are using cloud-based analytics while 19 percent plan to begin using it within 12 months, and 39 percent of organizations plan to move to cloud-based analytics but they’re not sure when, according to Ventana’s Data and Analytics in the Cloud Benchmark.

5 Ways Analytics Can Speed up Your Data Analysis for Business Insights

By Steve Leung | Published October 29th, 2015

Business Intelligence (BI) tools have long been valuable in helping deliver a view into the business to aid decision-making. The approach BI tools take is fundamentally based on a fairly static knowledge of your data. In other words, you have to know the questions you want answered before you engage in any BI project. This approach works well when you know what you don’t know. But what happens when you don’t know what you don’t know? Discovering what you don’t know is what I’d like to call business insight.

5 Ways Analytics Can Speed up Your Data Analysis for Business Insights

By Steve Leung | Published October 29th, 2015

Business Intelligence (BI) tools have long been valuable in helping deliver a view into the business to aid decision-making. The approach BI tools take is fundamentally based on a fairly static knowledge of your data. In other words, you have to know the questions you want answered before you engage in any BI project. This approach works well when you know what you don’t know. But what happens when you don’t know what you don’t know? Discovering what you don’t know is what I’d like to call business insight.

The Data Analytics of Halloween–2015 Costume Edition

By Spotfire Blogging Team | Published October 28th, 2015

On All Hallows Eve, little yellow Minions, pint-size Yodas, and pretty pink princesses–not to mention ghosts, goblins, rock stars, witches, superheroes, and cowboys–will roam through the neighborhoods in search of bite-size pieces of sugary goodness.