Smart Data Collective
APRIL 12, 2019
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.
Corinium
APRIL 10, 2019
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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DataRobot Blog
APRIL 11, 2019
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.
Dataiku
APRIL 10, 2019
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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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
O'Reilly on Data
APRIL 9, 2019
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.
CIO Business Intelligence
APRIL 9, 2019
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
datapine
APRIL 12, 2019
Projects are one of the cornerstones of a successful business. Sector or industry aside, strategic initiatives focused on specific areas of the business are what helps drive an organization forward, growing, progressing, and evolving year after year. Also, implementing effective management reports will create a data-driven approach to making business decisions and obtaining sustainable business success.
O'Reilly on Data
APRIL 11, 2019
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
David Menninger's Analyst Perspectives
APRIL 12, 2019
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.
Analytics Vidhya
APRIL 10, 2019
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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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?
datapine
APRIL 11, 2019
Plato famously quipped that “those who tell stories rule society.” This statement is as true today as it was in ancient Greece – perhaps even more so in modern times. In the contemporary world of business, the age-old art of storytelling is far from forgotten: rather than speeches on the Senate floor, businesses rely on striking data visualizations to convey information, drive engagement, and persuade audiences. .
David Menninger's Analyst Perspectives
APRIL 10, 2019
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.
CIO Business Intelligence
APRIL 10, 2019
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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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
datapine
APRIL 10, 2019
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.
Corinium
APRIL 10, 2019
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.
Data Science 101
APRIL 12, 2019
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.
Domino Data Lab
APRIL 7, 2019
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
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.
Smart Data Collective
APRIL 10, 2019
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.
Corinium
APRIL 9, 2019
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.
erwin
APRIL 11, 2019
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
DataRobot
APRIL 10, 2019
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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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Smart Data Collective
APRIL 12, 2019
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.
Corinium
APRIL 9, 2019
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.
IBM Big Data Hub
APRIL 8, 2019
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.
DataRobot
APRIL 12, 2019
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.
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.
Smart Data Collective
APRIL 12, 2019
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.
Corinium
APRIL 9, 2019
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
Sisense
APRIL 9, 2019
There’s nothing more satisfying than building something yourself. You know what you want your creation to accomplish, the unique challenges you want to tackle, and you pick the features you need. Then you find the raw materials or the base kit to start building from. That’s the whole idea of open source software: the world should all be one giant Lego kit, where developers of all stripes can share skills, code, and create new and different programs to build the world they want to see.
Insight
APRIL 9, 2019
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
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.
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