Sat.Apr 06, 2019 - Fri.Apr 12, 2019

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6 Valuable Business Intelligence Lessons From Brexit

Smart Data Collective

Almost everyone has heard of Brexit, even if they aren’t directly feeling the change. The term has made news around the world almost immediately upon conception and hasn’t stopped circulating. For those not in the know, Brexit started as the 2016 vote for the United Kingdom to leave the European Union for a whole host of reasons. The vote was incredibly divisive.

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Future.(BI)

Corinium

Moving to BI 3.0. Over 3 years ago when Corinium started researching the South African data analytics market 'Business Intelligence' was generally referred to as the old way of doing things. " There are far more useful things on the horizon. The future is advanced analytics and data science " people would tell us.

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Prescriptive Analytics: An Introduction

DataRobot Blog

by Jen Underwood. Where descriptive analytics reveals what has happened in the past, prescriptive analytics delivers insight into optimizing future decisions. As data-driven organizations mature, they will begin to apply prescriptive analytics. This. Read More.

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Can AI Actually Be an Objective Judge?

Dataiku

The small nation of Estonia bet on the Internet when it was founded in 1991 and has since been a strong defender of digital technologies and internet connectivity as a universal right and tool for democracy. They’ve established digital ID cards for their citizens and have online platforms for everything from voting to ordering a prescription. While there was a critical error with the cards in 2017 , Estonia maintains its trust in computational systems, and is turning to AI as the next phase in t

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Why a data scientist is not a data engineer

O'Reilly on Data

Or, why science and engineering are still different disciplines. "A scientist can discover a new star, but he cannot make one. He would have to ask an engineer to do it for him.". –Gordon Lindsay Glegg, The Design of Design (1969). A few months ago, I wrote about the differences between data engineers and data scientists. I talked about their skills and common starting points.

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What is a business intelligence analyst? A role for driving business value with data

CIO Business Intelligence

Business intelligence (BI) analysts transform data into insights that drive business value. Through use of data analytics, data visualization and data modeling techniques and technologies, BI analysts can identify trends that can help other departments, managers and executives make business decisions to modernize and improve processes in the organization.

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The Zendesk Benchmark Report

Corinium

When customers speak with companies, they want to do so with the same digital channels they use to communicate with friends and family. And they expect the experience to be effortless. This expectation is just one aspect of the digital disruption that is upending how legacy enterprise companies do business. The stakes for these companies have never been higher, particularly when many emerging players have already mastered the quickly evolving digital landscape.

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What data scientists and data engineers can do with current generation serverless technologies

O'Reilly on Data

The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future. In this episode of the Data Show , I spoke with Avner Braverman , co-founder and CEO of Binaris , a startup that aims to bring serverless to web-scale and enterprise applications. This conversation took place shortly after the release of a seminal paper from UC Berkeley ( “Cloud Programming Simplified: A Berkeley View on Serverless Computing” ), and this paper

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Looker Bets on LookML

David Menninger's Analyst Perspectives

I am happy to offer some insights on Looker drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D.

Analytics Vidhya

Introduction Fake news is one of the biggest scourges in our digitally connected world. That is no exaggeration. It is no longer limited to. The post DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D. appeared first on Analytics Vidhya.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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The Zendesk Benchmark Report

Corinium

When customers speak with companies, they want to do so with the same digital channels they use to communicate with friends and family. And they expect the experience to be effortless. This expectation is just one aspect of the digital disruption that is upending how legacy enterprise companies do business. The stakes for these companies have never been higher, particularly when many emerging players have already mastered the quickly evolving digital landscape.

Reporting 150
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How To Build A Modern & Effective Video Marketing Strategy

datapine

Videos have become the best way to connect with the right audience and followers. It’s not too hard to recognize why videos are popular these days. One sure reason is – they are an easy-to-digest format. Not only they are easy to understand but also offer your eyes a rest from the overabundance of text information available over the internet. That’s why the audience all across the world spends approx 1 billion hours to watch videos on YouTube every day.

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Tableau Continues to Expand into Enterprise BI

David Menninger's Analyst Perspectives

I am happy to offer some insights on Tableau drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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11 business intelligence certifications to advance your BI career

CIO Business Intelligence

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis of business information necessary to help users make data-driven business decisions. BI encompasses numerous roles. BI analysts, with an average salary of $66,791 per year according to PayScale, provide application analysis and data modeling design for centralized data warehouses and extract data from dat

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Cloudera - The ASEAN Appetite for Data in Motion

Corinium

Download the Report. The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?” We were consistently being told that data science would be the “ sexiest ” job of the century but finding a data scientist to implement a Big Data project was difficult to do. The early days of Big Data were defined by building massive data stores, or data lakes of unstructured data that were searchable in ways and at speeds that were no

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Top Companies to work for if you are a data scientist

Data Science 101

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. Firstly, the number of available job openings is rapidly increasing and the highest in comparison to other jobs, data science has an extremely high job satisfaction rating, and the median annual salary base is undeniably desirable.

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Comparing the Functionality of Open Source Natural Language Processing Libraries

Domino Data Lab

In this guest post, Maziyar Panahi and David Talby provide a cheat sheet for choosing open source NLP libraries. What do natural language processing libraries do? Natural language processing (NLP) is essential in a growing number of AI applications. Extracting accurate information from free text is a must if you are building a chatbot, searching through a patent database, matching patients to clinical trials, grading customer service or sales calls, extracting facts from financial reports or sol

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Big Data Should be a Priority in Every College Curriculum

Smart Data Collective

As technology progresses, more companies are producing huge amounts of data as a by-product of their day-to-day operations. While I’m not one to claim that “most businesses are practically drowning” in a sea of data, it’s fair to say that companies wanting a long future had better start taking Big Data seriously. To put this in perspective, many pundits in the field predicted a few years back that Big Data will double in size every couple of years until 2020.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Three strategies to improve the end-to-end customer experience

Corinium

Better managing the end-to-end customer journey is critical to your success in a world where customers compare your service to that of Google and Amazon—no matter what size your business is. In this ebook, you’ll discover three proven strategies for connecting disparate customer interactions into a seamless, personalized customer journey. See how taking a holistic approach ensures a better customer experience—every time—and delivers business results, including: Increased customer satisfaction sc

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Keeping Up with New Data Protection Regulations

erwin

Keeping up with new data protection regulations can be difficult, and the latest – the General Data Protection Regulation (GDPR) – isn’t the only new data protection regulation organizations should be aware of. California recently passed a law that gives residents the right to control the data companies collect about them. Some suggest the California Consumer Privacy Act (CCPA), which takes effect January 1, 2020, sets a precedent other states will follow by empowering consumers to s

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Velocity's Frequent Flyer Program Gains Better Insight and Greater Rewards

DataRobot

For a company that has a laser-like focus on delighting its customers, Velocity--the frequent flyer program of Virgin Australia--is constantly looking for new ways to improve members’ experience. CEO Karl Schuster and his team were constantly asking themselves, “How can we serve customers the best and most relevant offers that will deliver the most value for them?”.

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Is Cloud Communication A Good Alternative To Mobile Communications?

Smart Data Collective

Cloud technology is starting to have a major impact on the communications sector. Klaris Chua, a cloud communications expert, wrote a detailed overview of the trends in cloud communications in Martech Advisor. Most of her discussions focused on the implications of cloud solutions for email and interconnected apps. However, there is a growing demand for cloud VoIP services too.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Building your Contact Centre - The Key Takeaways from Telstra

Corinium

Ahead of the inaugural Future Contact Centres Sydney event, we caught up with Michelle Shiers, Complex Customer Care Lead, Telstra to discuss their contact centre vision, their biggest takeaways from building a successful contact centre, as well as how they secure investment and support from senior executives and much much more!

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Why prescriptive analytics and decision optimization are crucial

IBM Big Data Hub

Prescriptive analytics helps identify the best course of action that can enable businesses to achieve organizational goals. Although figuring out what you should do is a crucial aspect of business, the value of prescriptive analytics is often missed. There is still an inclination to “go with the gut” when looking at an array of possible scenarios. Read on to understand what prescriptive analytics is, how it relates to predictive analytics, and why it is critical to businesses today.

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The Algorithmic Accountability Act of 2019: Taking the Right Steps Toward AI Success

DataRobot

This week, two U.S. senators have introduced a bill that would require large companies and specialist data traders to assess and manage the risks associated with automated decision systems.

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Is Big Data Important In Your Social Media Customer Service Strategy?

Smart Data Collective

Big data is frequently used to enhance social media marketing campaigns. However, data analytics can be just as important for customer retention. Social media has been central to customer service strategies for the past few years. However, some brands are taking a shot in the dark with it. They have found that more effective data analytics technology has made it easier for them to optimize customer service processes through social media.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Data Governance Masterclass with Anwar Mirza

Corinium

As the management of data becomes a recognised business imperative, it’s essential to arm the C-suite with a structured and methodical approach to the subject.

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Top 3 themes: winning use cases in data science and AI

IBM Big Data Hub

I am working on a project that requires a lot of research on how people are using artificial intelligence (AI) and machine learning (ML) in real-world business cases. While AI and ML are two of the hottest trends in technology, they don’t seem to be proliferating as widely or as quickly as we would expect.

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Using Reinforcement Learning to Design a Better Rocket Engine

Insight

NASA [Public domain] In this blog, I’ll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. In doing so, I’ll demonstrate the application of ML techniques to the manufacturing industry and the role of the Machine Learning Product Manager. Machine learning beyond the tech industry Machine learning (ML) has had an incredible impact across industries with numerous applications such as personaliz

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University Web Developer Programs Must Prep Students For Big Data Era

Smart Data Collective

Big data is playing a monumental role in economic development in 2019. It is being used in every industry from healthcare delivery to insurance modeling to political science. According to economic analysts, the market size for big data is currently estimated to be $203 billion. Unfortunately, there is a growing shortage of data scientists. As we pointed out in a previous post, a white paper from PwC shows that the time that it takes to fill a Data scientist job is twice as high as the national a

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.