Rita Sallam

JUNE 11, 2019

A Tale of Two Acquisitions… It’s back to the BI future! This week, Cloud megavendors Google and Salesforce bought modern analytics and BI vendors Looker and Tableau, respectively, to complement their cloud data management and application stacks and to drive data and compute-intensive analytics use cases to their respective clouds. The modern analytics and BI market is now mainstream with large enterprises now deploying these platforms enterprise wide.

Marketing 110

Marketing Analytics Enterprise Visualization 110

Corinium

JUNE 12, 2019

Companies across the continent are rapidly adopting cloud services to improve efficiency, scalability and access. However, this rapid adoption of cloud services is seeing an exponential rise in attacks and vulnerabilities. One of the core functions of CISO Cape Town is for IT security experts to gather and share new strategies to defend against the online realm, strategies that may incorporate traditional applications, and in other cases tackle challenges differently.

Strategy 150

Strategy IT 150

Analytics Vidhya

JUNE 12, 2019

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, The post An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals appeared first on Analytics Vidhya.

Data Science 307

Data Science Statistics Analytics 307

David Menninger's Analyst Perspectives

JUNE 12, 2019

This year, I attended Informatica World 2019, Informatica's annual user conference. The main focus this year was on the cloud with a heavy does of AI. Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

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Management Data Quality Data Integration Data Lake 270

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Optimization

datapine

JUNE 13, 2019

Using daily and/or weekly sales reports with your team may be the single most powerful action you can take to increase your team’s performance. Don’t believe us? We’ll convince you with an example from another sector – fitness. Let’s say a friend of yours has a goal of losing 10 pounds of fat or gaining 5 pounds of muscle, over the next 2 months. Your friend excitedly tells you their plan, and all of the actions they plan to take to achieve their goal.

Sales 264

Sales Reporting KPI B2B 264

Corinium

JUNE 12, 2019

Welcome to Future Enterprise Systems Africa (FESA 2019) , our new conference born out of the DigiCon series of events. The slight shift in focus is to hone in on the practical steps of digital transformation the nuts and bolts of what the next generation business requires in order to survive. Two key areas were identified – the architecture teams and the innovation teams.

Enterprise 150

Enterprise Digital Transformation IT 150

David Menninger's Analyst Perspectives

JUNE 10, 2019

Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift. Many of these announcements were centered on a key theme of a cloud and SaaS-first approach.

Data Integration 207

Data Integration Big Data Data Analytics Management 207

CIO Business Intelligence

JUNE 13, 2019

Salesforce.com’s $15.7 billion bid for Tableau Software has many organizations wondering how the proposed acquisition will impact their operations. According to industry analysts, it all depends on how your enterprise makes use of their respective platforms. Users of Salesforce’s CRM platform have all subscribed to its software-as-a-service (SaaS) model, putting their data in the cloud — but the company is only beginning to respond to the demand for sophisticated tools to analyze that data. [ De

IT 111

IT Business Intelligence Strategy Software 111

Corinium

JUNE 11, 2019

150

150

Analytics Vidhya

JUNE 9, 2019

Introduction “I don’t want a full report, just give me a summary of the results” I have often found myself in this situation – The post Comprehensive Guide to Text Summarization using Deep Learning in Python appeared first on Analytics Vidhya.

Deep Learning 307

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Timo Elliott

JUNE 14, 2019

I recently did an Innovation Evangelist podcast with Tom Raftery , covering the top innovation trends that I find interesting in business and society today. Here’s a summary of some of the points we covered in the video above: 1. We have a golden opportunity to make the world a better place. Technology is accelerating, and it’s amazing opportunity for win-win-win opportunities.

Technology 111

Technology Cost-Benefit Machine Learning Metrics 111

erwin

JUNE 14, 2019

Digital transformation examples can be found almost anywhere, in almost any industry. Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. Amazon began as a disruptor to brick-and-mortar bookstores, eventually becoming one of the most obvious digital transformation examples as it went on to revolutionize online shopping.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

Smart Data Collective

JUNE 10, 2019

Sustainability is a major concern for many businesses. You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. People that know me are aware that I have a blog on sustainability, as well as Smart Data Collective.

Technology 109

Technology Data Analytics IoT Big Data 109

Teradata

JUNE 13, 2019

Martin Wilcox examines the failure of data lakes.

Data Lake 102

Data Lake 102

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Data-driven

Data Science 101

JUNE 10, 2019

Getting your first data science job might be challenging, but it’s possible to achieve this goal with the right resources. Before jumping into a data science career , there are a few questions you should be able to answer: How do you break into the profession? What skills do you need to become a data scientist? Where are the best data science jobs? First, it’s important to understand what data science is.

Data Science 96

Data Science Statistics Predictive Modeling Machine Learning 96

Srividya Sridharan

JUNE 12, 2019

(Jeremy Vale and Paolo Santamaria contributed to this post.) This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking? Time To Sound The Alarm In order to compete in the age of […].

Data Strategy 92

Data Strategy Strategy B2B Machine Learning 92

Smart Data Collective

JUNE 14, 2019

Big data is changing our lives in many ways. Some of the ways data impacts us are much more subtle than others. One example is with digital calendars. A number of new data algorithms are being used to make digital calendars more effective. Big data is so important for event planning and preparation. A growing number of companies are using big data to plan their events more effectively.

Big Data 105

Big Data Machine Learning Optimization Reporting 105

Dataiku

JUNE 14, 2019

New product releases are exciting, but can also come with some amount of confusion; how will the tool you know and love change? Will your workflow need tweaking? And most importantly, how will you learn to use new features fluently? We looked at the four best ways to focus your exploration and take advantage of new feature releases.

Data Science 89

Data Science 89

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

Juice Analytics

JUNE 10, 2019

Data stories use the techniques of traditional storytelling — narrative flow, context, structure — to guide audiences through data and offer flexibility to find insights relevant to them. Data may be the star, but your data story won’t cohere without a mix of additional ingredients. There are at least four things that you’ll want to incorporate into your data story that go beyond the data visualizations: 1.

Visualization 89

Visualization IT 89

Timo Elliott

JUNE 13, 2019

I was recently interviewed on the future of analytics by Tamara McCleary, CEO of Thulium, a social media analytics and consulting agency, for her new “Tech Unknown” podcast. You can read her blog post summary or listen to the podcast directly below. We explored the current state of the art for AI/ML-driven analytics and talked about what business leaders can do prepare for what’s to come: Ways AI and ML-driven analytics drive better business outcomes.

Analytics 88

Analytics Digital Transformation Data-driven Consulting 88

Smart Data Collective

JUNE 14, 2019

Big data is changing the future of gaming. Dataiku’s Pierre Gutierrez presented a compelling analysis of the role of data analytics in gaming in his piece A Flood Of Gaming Analytics Data With No End In Sight. Some of the ways that data analytics has changed the gaming industry are not noticeable to the average gamer. They don’t directly see the impact, but data is changing the gaming experience in many ways.

Big Data 104

Big Data Technology Software Data-driven 104

Jedox

JUNE 12, 2019

An Interview with Jamie Cousin, FP&A Manager at ServiceMaster. What exactly leads to customer loyalty – and what can the business do to increase it? The FP&A team at ServiceMaster is searching for answers deep in the individual experiences and purchase histories of over 2 million customers with assistance from the new Artificial Intelligence capabilities embedded in Jedox software.

Software 84

Software Reporting Predictive Analytics Sales 84

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Reporting

Domino Data Lab

JUNE 13, 2019

This post provided a distilled overview regarding the rediscovery of 50,000 samples within the MNIST dataset. . MNIST: The Potential Danger of Overfitting. Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples.

Testing 83

Testing Data Science Experimentation Metadata 83

Andrew White

JUNE 11, 2019

Salesforce acquires Tableau – June 2019 (business app vendor acquires analytics/BI). Google acquires Looker – June 2019 (infrastructure/search/data broker vendor acquires analytics/BI). Salesforce closes acquisition of Mulesoft – May 2018 (business app vendor acquires data integration). Then again, classifying vendors as I do above is a loss leader – the classifications do not make sense any more since most large vendors play in many spaces.

IT 82

IT Data Quality Data Integration Business Objectives 82

Smart Data Collective

JUNE 12, 2019

Google is taking privacy more seriously these days. Last year, the Washington Post reported that they adopted some new big data security standards. Some of these standards were put into place to improve Gmail security. However, there are still a lot of measures that Gmail users themselves need to take. Big data is making it easier to keep your Gmail secure , but only if you take the right precautions.

Big Data 100

Big Data Machine Learning Predictive Analytics Software 100

IBM Big Data Hub

JUNE 10, 2019

Read why IBM has just launched the inaugural IBM Women Leaders of AI , and why we’re honoring women pioneering AI in their businesses in diverse industries from across the globe.

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Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Sisense

JUNE 12, 2019

At Sisense, our mission is to empower users of all kinds with deep insights from even the most complex data. This requires a focus on many different areas of analytics including our ability to work with large, complex, disparate data; our ability to provide an easy to use interface for both working with data and building analytics; and our ability to go beyond dashboards with capabilities such as IoT integration and powerful APIs to support application developers.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Jet Global

JUNE 10, 2019

If you haven’t already upgraded to the latest version of Jet, here is a great reason to do so! Version 20.0 ( released April 30th 2019 ) includes a new Word integration feature that makes including your data, charts, and graphs from Jet Reports into a Word document a snap! Join us for a full tour of the new Word Integration feature while we walk you through real-world examples for why and how to use it!

Reporting 75

Reporting IT 75

Smart Data Collective

JUNE 11, 2019

Big data is everywhere , and it’s finding its way into a multitude of industries and applications. One of the most fascinating big data industries is manufacturing. In an environment of fast-paced production and competitive markets, big data helps companies rise to the top and stay efficient and relevant. Manufacturing innovation has long been an integral piece of our economic success, and it seems that big data allows for great industry gains.

Manufacturing 100

Manufacturing Analytics Big Data Data mining 100

Andrew White

JUNE 9, 2019

I want to comment in an insightful and challenging Opinion piece in this last weekends US print edition of the Wall Street Journal. The article was titled, A Dearth of Data Helped Hong Kong Succeed , and it was written by Jairaj Devadiga. The article explains an odd fact that Hong Kong’s economic policy management during a period of high growth was correlated with a lack of central (e.g. federal) government planning and that was driven by a lack of data about the economy.

Measurement 74

Measurement Metrics Marketing Data-driven 74

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven