Mon.Feb 10, 2020

The Zendesk Customer Experience Trends 2020

Corinium

Customer loyalty can help drive the success of a business, and the customer experience (CX) drives loyalty. The data is clear: 74% of customers feel loyal to a particular brand or company. 52% of customers report going out of their way to buy from their favorite brands.

Demystifying the Mathematics Behind Convolutional Neural Networks (CNNs)

Analytics Vidhya

Overview Convolutional neural networks (CNNs) are all the rage in the deep learning and computer vision community How does this CNN architecture work? We’ll. The post Demystifying the Mathematics Behind Convolutional Neural Networks (CNNs) appeared first on Analytics Vidhya.

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Three Data and Analytics Predictions for 2020

Corinium

Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and analytics industry in 2020.

Important Factors to Consider Before Launching An AR Mobile App

DataFloq

Augmented Reality (AR) is a topic of discussion in the technology business for over a decade. These emerging technologies transform lifestyles, both personally and professionally.

How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.

Big Data Technology Is Crucial To Your Educational Pursuits

Smart Data Collective

I still remember my college days. Technology was more readily available than ever, but big data was not a thing yet. Students were not using big data to assist with their learning goals. Today, big data is vital to the learning process.

IoT in scientific research: putting the limelight on data security

DataFloq

Internet of Things (IoT) enabling devices offer an extensive range of opportunities for scientists working in laboratories. Software solutions revolutionise the laboratory environment, facilitating greater levels of connectivity and efficiency.

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Citizen Data Scientists are Here to Stay!

Smarten

Citizen Data Scientists Will Lead the Charge with Augmented Analytics! You have probably heard a lot about the concept of Citizen Data Scientists in industry conferences and journals.

Too Weak, Too Slow: MicroStrategy World 2020’s Big Theme

Perficient Data & Analytics

“Too weak. Too slow.” That’s what Norwegian chess grandmaster Magnus Carlsen , who thinks 15-20 moves ahead, says matter-of-factly to his opponents.

Why Build a Data-Driven Culture?

Juice Analytics

In our book Data Fluency , we describe the four pillars of a “data fluent” organization: Data Consumers — the people who use data products to make better decisions; Data Authors — the people who create data products to influence and inform decisions; Data Ecosystem — the set of tools, processes, and capabilities to create effective data products; Data Culture — the norms, expectations, and leadership that encourage a data-driven organization. Of these pillars, perhaps the most foundational and critical is the data culture. Research suggests that many organizations struggle to create this data culture and a healthy data culture is tied to overall performance. What does the data say? A recent article from the MIT Sloan Review (authored in part by Thomas ‘Competing on Analytics’ Davenport) summarizes survey results showing that many organizations lack an adequate data culture. Among the key data points: Only 37% of those surveyed said they would describe their organizations as either “analytical companies” or “analytical competitors.” 67% percent of those surveyed (all senior managers or higher) said they are not comfortable accessing or using data from their tools and resources. At Juice, we’ve been saying for over a decade that analytics is a social problem, not a technology problem. Another survey from NewVantage Partners underscores this point: Only 7.5% of executives cite technology as the challenge to their data objectives; 93% of respondents identify people and process issues as the obstacle. But why is it so important to build a culture that supports and encourages data-driven decisions? The MIT Sloan research shows that companies with strong analytical cultures perform better: Among the 37% of companies in the survey with the strongest analytical cultures, 48% significantly exceeded their business goals in the past 12 months. In the 63% of companies that do not have as strong an analytics culture, only 22% significantly exceeded their business goals. Where to next? If a data culture was something you could purchase, the companies answering these surveys would have done so. Most large organizations are investing heavily in data science, AI, data infrastructure, master data management, and analytical tools ( we can save you money there ). Culture isn’t the result of a budget line item; it comes from top-level leadership and a long-time persistence. Here are a few of the places to start. • Executive support. From the board and CEO to leaders in HR and marketing, top-level commitment to data-driven decisions will set organizational expectations and provide the necessary resource commitments. • Modeling behavior. Actions speak louder than words. When leaders throughout the organization show data-driven behavior, like incorporating key metrics into status meetings or championing a new dashboard, everyone will get the message. • Building habits. Changing behaviors is hard for anyone. It requires a lot of enabling factors including culture, convenience, confidence, and visible impact. Putting these elements in place for your organization is the hard work required to create new habits of thinking. Ask us about our new workshop to kick-start your data communication skills and plan a path forward toward a data-driven culture. Data-Driven Decisions Research

Data Architecture: 2.5 Types of Modern Data Integration Tools

Perficient Data & Analytics

As we move into the modern cloud data architecture era, enterprises are deploying 2 primary classes of data integration tools to handle the traditional ETL and ELT use cases. The first type of Data integration tools are GUI-Based Data Integration solutions.

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

The #1 Way to Make Your Data Science Team Succeed

Dataiku

This blog post is part of a series of guest publications by Excelion Partners. Check out their blog and read about their projects here.

Hitchhike Your Way Through AI

bridgei2i

“The Answer to the Great Question… Of Life, the Universe and Everything… Is… Forty-two,’ said Deep Thought, with infinite majesty and calm.”

"You get a GPU"

3AG Systems

Insider joke for all those hardworking ML engineers. Read More

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Our Top 20 Most-Read Data and Analytics Research Last Week (to Feb 9)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

Case Study – Smarten Augmented Analytics Implementation for Water and Sanitation Customer of Leading India System Integrator

Smarten

This Partner is a leading system integrator for public and private sector organizations in India. This System Integrator has a wide network of consultants and technology experts through which they achieve and support a presence across countries like the UK, US and India.

3 Types and 5 Management Dashboard Examples Sorted by Departments

FineReport

Why We Need a Management Dashboard? “Pilots’ instincts are often wrong in bad weather and climates. Therefore, in-flight, trust our dashboard.” ” ——From “The Financial Report is Like a Story Book” by Liu Shunren, a professor at Taiwan University.

Podcast Title Goes Here

bridgei2i

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Zdenek Hanzal gives a global cosmetics company an analytics makeover

IBM Big Data Hub

Analytics Hero blog celebrating how Zdenek Hanzal finds success

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.