5 steps to digital transformation using GIS

5 steps to digital transformation using GIS

Geographic information systems (GIS) empower analysts to query complex data sets to thoroughly understand their data and create actionable insights. These five steps show how spatial analysis can be used to transform an organisation 1. Bring all your data together Start by ditching your data silos and empowering your whole organisation to access accurate information from one reliable system. Spatial …

For location analytics

For location analytics, only the best, most current data will do

In geospatial tech, data has always been the lost stepchild. Or, it’s the “rocket fuel” of geographic information systems (GIS). Take your pick. It depends on who you work for or what you need. The bottom line? For location analytics, only the best, most current data will do. Today, data is the new bacon. It sizzles; it’s crispy; it’s essential …

Do you have a healthy big data culture?

Do you have a healthy big data culture?

One of the phrases on the buzz these days is big data, which claims to transform banking and insurance industries. Before embarking on such a journey, large organisations need to first understand that big data isn’t a plug-and-play initiative that would automatically make them “insight rich” (or super rich, come to that). From my experience, financial institutions are still insight …

Data Analytics For Lawyers

Data Analytics For Lawyers

Avoid the HiPPO! These three words can change the way anyone does business for the better. I will explain what I mean here at the end. First, it’s time to confront a cold truth. Like it or not, data analytics is becoming an increasingly important part of the business world, including the legal profession. For attorneys of all stripes then, …

Automate the business intelligence pipeline

Automate the business intelligence pipeline

Demand for data by today’s business users is growing exponentially in two ways. First, business users have exhausted the opportunities in the data they hold. They want more sources of data to find new value, and they want the data to be accurate to deliver analytic outcomes. Second, the number of data-savvy business analysts is larger than ever and growing …

5 Reasons to Use Business Intelligence at Your Call Center

5 Reasons to Use Business Intelligence at Your Call Center

People often speak of business intelligence (BI) in the same breath as “business performance improvement” (BPI) and “informed decision-making.” Both statements are true and entirely applicable to the modern call center. However, business intelligence holds other benefits for your call center or collections agency. We discuss a few of them here, alongside the aforementioned BPI and decision-making. Allow yourself to …

Why Healthcare is Behind the Data Curve

Why Healthcare is Behind the Data Curve

The healthcare sector has been trailing industries such as banking and retail when it comes to adoption of data analytics, but a growing number of success stories in healthcare provide proof of concept for other organizations to get on board. Nearly every industry is searching for ways to create value from rapidly expanding amounts of data, but few sit on …

Japanese insurance claim agents are now being replaced by a robot – the IBM Watson supercomputer

Japanese insurance claim agents are now being replaced by a robot – the IBM Watson supercomputer

A Japanese insurance company has decided to get rid of 34 jobs and instead get artificial intelligence to take over assessing medical insurance claims over the phone. Starting from January 2017, Tokyo-based Fukoku Life Insurance Mutual Company is handing over the roles of 34 human insurance agents to IBM Watson Explorer, which is a cognitive search and content analysis platform …

Advanced and Predictive Analytics (APA) Software Market is Expected to Exceed CAGR of 8.6% by 2020

Advanced and Predictive Analytics (APA) Software Market is Expected to Exceed CAGR of 8.6% by 2020

The growth of the Advanced and Predictive Analytics (APA) software market is primarily driven by the implementation of Big Data repositories, such as NewSQL, NoSQL, Hadoop databases and other platforms, to enhance the ability of computing data and business value from APA. Additionally, the shift in preference of business analysts towards becoming data scientists is also contributing in boosting the …

Big Data Already Paying Off in Insurance Fraud Detection

Big Data Already Paying Off in Insurance Fraud Detection

There’s a lot of talk right now about how big data is going to change insurance. Artificial intelligence and prescriptive analytics are definitely coming, and they will definitely change the insurance industry. To get a better idea of the specific ways in which big data applications are going to play out, it’s worth examining how data analytics are being used …