AI and the Future of Business Intelligence


From its presence in our daily apps to larger business applications, AI impacts our everyday lives in varying degrees — even if we’re not always aware of it. In the field of business intelligence, however, AI has a more visible impact. AI and Business Intelligence.

Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Boris Evelson

Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […]. Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb!

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A Use Case For Business Intelligence Vs. Text Analytics Tools

Boris Evelson

I recently answered a client question regarding an application that could be based on either business intelligence (BI) or text analytics technology. advanced analytics business intelligence robotic process automation (RPA) text analytics RPAQuestion: “We receive quarterly and yearly account statements for our investments.

How a modern software solution facilitates financial consolidation


Jedox Software Thought Leadership Business Intelligence CPM Data Visualization Financial Performance Performance Management Predictive Analytics technology

Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. Embedded analytics accelerates. Cloud analytics adoption skyrockets.

Data privacy perceived as the biggest obstacle to deploying security analytics solutions


T he proverbial computing troika – the technological trio of cloud, mobile and social computing – is not showing any signs of slowing down. As the results of our study clearly indicate, general awareness of various security analytics technologies is high across all surveyed industries.

Go Beyond BI. You Need DI. 4 Ways to Take Data-Driven Business to the Next Level


Ask any business leader worth their salt if their business is data-driven and they’ll say “Of course we are.” That’s why you need to deploy the most flexible, agile, and innovative BI and analytics technology now available; technology that goes beyond BI to DI: data intelligence.

Traditional security with a universally high adoption across all sectors


When it comes to more advanced technologies, however, adoption rates vary dramatically. Breakdown of used technologies across different sectors (N=208). Among the surveyed industries, manufacturing and public sector companies are the slowest to adopt the security analytics technologies.

Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Business applications & the birth of BI. Since the dawn of business applications, the fundamental purpose of these applications has been to increase the efficiency of business processes. Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database.

Data and Analytics from a Mexico Perspective

Cindi Howson

We held our inaugural Data and Analytics Summit in Mexico City last month. Here’s what I learned about data and analytics from the Mexico perspective. Data and analytics is hot. Data and Analytics once again tops the list of CIO priorities globally and also in Latin America.

Tips for Successful Data Science Implementation in Insurance

Decision Management Solutions

These three challenges – getting business buy in, attracting talent, and strategic alignment are exactly what we see in our work with insurers. 1 – Getting business buy-in. We begin our DecisionsFirst approach by working directly with the business SMEs to define a decision model. This logical, structured view of how they want to make an operational business decision (such as paying a claim or underwriting a policy) focuses the initiative on a business problem.

The Definitive Guide to Enterprise-wide Analytics Alignment

The Kini Group

Enterprise-wide analytics is REALLY difficult. It’s difficult to set up, difficult to maintain, and difficult to determine its impact on the business. Everyone has heard of the concept ─ data technology that helps all teams within a company, manage, protect, and analyze their data.

Oracle Analytics Summit 2019 – Making It Easy for the Customer

Perficient Data & Analytics

On Tuesday of this week I attended the invitation only, 1st annual Oracle Analytics Summit at the Skywalker Ranch just outside of San Francisco. At the Summit Oracle introduced new analytics products and announced plans to simplify the products and unify them under the Oracle Analytics brand.

Winning the Future: Digital Transformation, the Cloud, and AWS


Your business and your software have to evolve to keep up. Increase revenue, differentiate your business. Here we’re going to discuss three key areas that successful businesses focus on during their transformations: 1.

How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics


Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. People-process-technology speak is no longer enough to traverse the technological landscape.

What is Big Data Analytics?

Mixpanel on Data

Companies use big data analytics to uncover new and exciting insights in large and varied datasets. These analytical insights help teams make quick, informed decisions and build satisfying products. Big data analytics isn’t a synonym for data science, though the two are often confused.

Mastering the Art of Data and Analytics to Transform Customer Experience

Perficient Data & Analytics

Research firm Forrester has confirmed that more than 60 percent of executives identified delivering a superior customer experience and creating new sources of customer value as important factors to achieving success as a digital business. Data and analytics play a crucial role in painting a picture of your customer. However, the science of data management and predictive analytics relies on an increasing volume of information across multiple channels. “Art is never finished.