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BI must evolve with modern, mobile technology

BI Must Evolve to Keep Pace with Modern, Mobile Technology Platforms

Business technology is only just beginning to catch up to customers’ changing UX preferences.

Even as consumers continue to gravitate en masse toward mobile computing, wearables and personal assistant applications powered by artificial intelligence, some business solutions providers have doggedly persisted in designing their systems for desktop platforms, instead of designing them to be mobile-native.

Published On 05-18-2017, By Arjun Kulkarni
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5 Ways Mobile Analytics Tools Are Empowering the Intelligent Enterprise

5 Ways Mobile Analytics Tools Empower the Intelligent Enterprise

Much has been said, on this blog and elsewhere, about the importance of mobile analytics in today’s business environment. Business intelligence (BI) can’t wait for an employee to get back to his or her desk; it must be generated where (and when) a user is working. That requires secure data analytics solutions that can foster 4-D collaboration. Five years ago, they were still out of reach. Today, they are par for the course.

How are mobile-native BI tools different? Let’s look at 5 design principles that are guiding us as we develop the solutions that will power the business intelligence generation for the future.

Published On 05-3-2017, By Arjun Kulkarni
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When Analytics Becomes Para-lytics

For years, creating and fostering a culture, where business users make increasingly better decisions, through the capture and analysis of meaningful data, has been the holy grail of enterprises. The pursuit of this goal has seen us create sophisticated systems that capture, store, process and analyze every data point we can get our hands on, with increasing accuracy and speed.

Published On 04-26-2017, By Arjun Kulkarni
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Business Intelligence Tools Must be Reimagined for Virtual Workplaces

In our last post, we touched upon the notion that your workplace isn’t the only workplace anymore. And Business intelligence (BI) applications can’t be constrained by your office spaces alone, because your employees aren’t 9-to-5 office denizens. 

Published On 04-12-2017, By Arjun Kulkarni
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Artificial Intelligence Meets Business Intelligence

What's the most frustrating aspect of using current enterprise solutions for a senior executive? It is the inability to find timely and reliable answers to their questions. Often, answers do lie somewhere - it is just too challenging and time consuming to get to them. Imagine how cool it will be if you can get the most important information and insights before every tactical decision you can make during your workday?

Published On 03-14-2017, By Srikanth Velamakanni
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The next generation of business intelligence

The Next Gen of Business Intelligence Is AI-Backed and Mobile-Powered

The face of business intelligence is changing. Why? The simple answer: almost every business now collects, produces and relies on recorded data.

Published On 03-9-2017, By Louis Goldner
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Are You Ready to Make the Leap to Automated Business Intelligence?

Evolving technology and ongoing innovation are changing the data analytics needs of modern businesses. Companies need data infrastructures that promote discovery and speed the generation of business intelligence (BI).

Published On 02-22-2017, By Louis Goldner
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Cuddle.CGT.png Earns Major Recognition from Consumer Goods Executives

JERSEY CITY (February 13, 2017) —, a platform that delivers real-time, tailored and centralized business information driven by artificial intelligence, has been selected to Consumer Goods Technology’s Readers' Choice Survey 2017: Editors' Picks. The list, created by consumer goods executives and CGT’s editorial staff, shines a spotlight on 20 technology solution and service providers that are making a substantial impact on how consumer goods organizations innovate with technology.

Published On 02-14-2017, By
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Business Intelligence Needs a New Infrastructure in 2017

One of the issues that has long prevented many companies from going all-in on analytics has been an accountability problem. When a company invests in analytics, decision-makers have reasonable expectations of seeing measurable ROI from their spends. Yet many data executives are finding it difficult to justify renewing their ever-growing analytics budgets to a CMO who might ask why, several months after acquiring a $500K market share dashboard, there’s been no appreciable change in revenues and new BI is slow in coming.

Published On 02-8-2017, By Louis Goldner
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Personalized Analytics: Democratizing Data for Users

Modern companies face a quandary: At a time when Big Data is providing them an unprecedented opportunity to access and unlock their consumers’ desires and motivations, they also face a projected shortage of the data scientists they need to help them sort through and utilize all that raw information.

Published On 01-25-2017, By Arjun Kulkarni
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Why Your Company Needs Personalized Analytics

Why Your Company Needs Personalized Analytics

The Intelligent Enterprise rejects endless dashboards and unfiltered data streams for a single app that brings it all together, daring to imagine a world where data becomes a competitive differentiator that empowers business teams to make decisions on the go.