Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. In fact, there’s no escaping the increasing reliance on such technologies. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. The power of data analytics and business intelligence is universal.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Analytics Vidhya

MAY 19, 2019

This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction I’m an avid YouTube user. The sheer amount of content I can. The post Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos appeared first on Analytics Vidhya.

Data Science 303

Data Science Analytics Machine Learning Data Collection 303

O'Reilly on Data

MAY 23, 2019

The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China. In this episode of the Data Show , I spoke with Jike Chong , chief data scientist at Acorns , a startup focused on building tools for micro-investing. Chong has extensive experience using analytics and machine learning in financial services, and he has experience building data science teams in the U.S. and in China.

Machine Learning 232

Machine Learning Data Science Management Analytics 232

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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

David Menninger's Analyst Perspectives

MAY 20, 2019

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation means that virtually any appropriately designed device can generate and transmit data about its operations, which can facilitate monitoring and a range of automatic functions.

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Internet of Things IoT Analytics Optimization 208

Corinium

MAY 22, 2019

Over it's lifetime Facebook has become possibly the biggest B2C/B2B marketing channel available to marketers. The platform is a mass generator of big customer data that holds immense potential value for making smarter marketing decisions.

Marketing 150

Marketing B2B Data Science IT 150

Data Science 101

MAY 20, 2019

I took and passed the exam during the beta period. These are my memories of the topics on the exam. You can get this information as the Microsoft Azure Data Scientist Checklist. General Overview. Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure. Passing the exam will qualify you for the Azure Data Scientist Associate certification.

Data Science 111

Data Science Machine Learning Deep Learning Testing 111

Smart Data Collective

MAY 24, 2019

Machine learning is playing an increasingly important role in web development. Responsive web design practices first started becoming popular around seven years ago. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs).

Machine Learning 102

Machine Learning Internet of Things Testing Big Data 102

Corinium

MAY 22, 2019

Most often, one hears remarks that Big Data implementation is a failure. This requires a reset of expectations. Big Data is all hype. With this post, I would like to share my views.

Big Data 150

Big Data 150

Juice Analytics

MAY 23, 2019

Whenever a client says, “ We just need the charts to be pretty ”, I pause and weigh my response. While clearly placing some value on the user experience with their comment, they clearly miss the point of information design and effective data visualization. My dilemma then becomes, what’s the right response to this statement? To be clear I’m not rehashing the data visualization aesthetics debate, but wrestling with how to win over product leadership on how to implement data applications the right

Dashboards 100

Dashboards Visualization Metrics IT 100

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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.

Data-driven

Data Science 101

MAY 23, 2019

Here is the latest data science news for May 2019. From Data Science 101. REAL TALK WITH A DATA SCIENTIST: THE FUTURE OF DATA WRANGLING WHAT IS ON THE MICROSOFT DATA SCIENCE CERTIFICATION EXAM? General Data Science. Microsoft Build 2019 – This is a huge conference hosted by Microsoft for the developer community. Many of the presentation are available to watch online.

Data Science 97

Data Science Data Processing 97

Smart Data Collective

MAY 21, 2019

Big data and e-commerce have been carefully interwoven for years. Businesses with an online presence have looked to big data to provide better customer service. Some examples of this include: Monitoring user engagement to see how customers behave online. Developing more effective graphic designs with the assistance of artificial intelligence. Ensuring the website operates as smoothly as possible.

Big Data 101

Big Data Interactive Manufacturing Predictive Analytics 101

Corinium

MAY 19, 2019

Ahead of the third Chief Data & Analytics Officer Singapore conference, we caught up with Murari Mohan, Assistant Vice President, Partnership Analytics, Business and Data Science,, NTUC Link to talk about moving from reactive analytics to proactive analytics, the cultural hurdles to be addressed in order to drive intelligent data strategies as well as the most significant steps to be taken to move from strategy to execution.

Analytics 150

Analytics Data Strategy Data Science Strategy 150

Bruno Aziza

MAY 19, 2019

When I was in business school, I learned that most companies were often not in the “business” they appeared to be. It is indeed comfortable to categorize a company’s business by its industry: transportation, financial services, manufacturing.etc.

IT 94

IT 94

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

MLWhiz

MAY 18, 2019

Good Features are the backbone of any machine learning model. And good feature creation often needs domain knowledge, creativity, and lots of time. In this post, I am going to talk about: Various methods of feature creation- Both Automated and manual Different Ways to handle categorical features Longitude and Latitude features Some kaggle tricks And some other ideas to think about feature creation.

Machine Learning 92

Machine Learning Modeling 92

Smart Data Collective

MAY 21, 2019

Big data is redefining the future of the gaming industry. Gaming providers are using big data for a variety of purposes. These applications include the following: Getting a better understanding of customers , so they can offer better products and experiences. Protecting against security threats, which are becoming increasingly common. Adapting new payment processing solutions, such as crypto currencies.

Big Data 96

Big Data Statistics Marketing Strategy 96

erwin

MAY 23, 2019

How do organizations innovate? Taking an idea from concept to delivery requires strategic planning and the ability to execute. In the case of software development, understanding agile enterprise architecture and its relevance to DevOps is also key. DevOps, the fusion of software development and IT operations, stems from the agile development movement.

Enterprise 91

Enterprise Strategy Software Modeling 91

Dataiku

MAY 23, 2019

We talked to a project team from Georgia Tech with members in the Analytics MS and the Computer Science MS. Shelly Kunkle at Michelin, Melanie Laffin at Capgemini, Katrina Green at Vrbo.com, and Taylor Gift at AT&T collaborated on a project to better evaluate quality of life metrics when planning a move. Instead of just looking at square footage or number of bedrooms, they included cost of living variations, census data, and other metrics to better predict how to make the right choice when p

Metrics 90

Metrics Analytics IT Big Data 90

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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

IBM Big Data Hub

MAY 22, 2019

IBM Cloud Pak for Data System is an integrated end-to-end platform that is cloud native by design, architected as microservices and containerized workloads. It offers instant pre-assembled provisioning and has capabilities to collect, organize and analyze data. It takes the IBM Cloud Pak for Data experience further by providing a modular approach to compute, network and storage on standard hardware, leveraging a building block approach under unified management.

Analytics 85

Analytics Management IT 85

Smart Data Collective

MAY 20, 2019

The Internet has evolved significantly over the last 20 years. A lot of the biggest changes can be traced to big data. SmartData Collective discussed some of the implications of big data for the Internet a couple of years ago. One thing that got overlooked was the role of big data in web hosting. Big data is creating a new era of hosting solutions. CDN and traditional hosting options are both available.

Data Processing 93

Data Processing Big Data Cost-Benefit Data mining 93

Teradata

MAY 23, 2019

Using Vantage, Air France-KLM Group performs cross-channel analytics of customer data to provide a seamless experience for their passengers.

Analytics 96

Analytics 96

Jet Global

MAY 21, 2019

Jet Analytics provides users with several data sources and data structures to choose from when building reports or dashboards. But how do you decide when to choose your live database, your data warehouse or your cubes? Each data source has something valuable to contribute in your reporting and analytics ecosystem, so knowing the pros and cons of when to select each one will give you a big leg up in efficiently building reports.

Reporting 75

Reporting Optimization Data Warehouse Dashboards 75

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

IBM Big Data Hub

MAY 21, 2019

A modern data architecture (MDA) must support the next generation cognitive enterprise which is characterized by the ability to fully exploit data using exponential technologies like pervasive artificial intelligence (AI) , automation, Internet of Things (IoT) and blockchain.

Data Architecture 76

Data Architecture Internet of Things IoT Enterprise 76

Smart Data Collective

MAY 23, 2019

Big data is changing the future of professional communications. We have previously discussed the way that organizations use big data to stream communications through Skype and VoIP services. However, big data is also playing an important role in validating documents as well. Big Data Addresses Security Issues and Other Concerns with Electronic Signatures.

Big Data 89

Big Data Cost-Benefit Data mining Finance 89

Sisense

MAY 20, 2019

The trouble with investing in a new, unknown technology is that it’s sometimes difficult to know what questions to ask a potential vendor. Sure, you know broadly what it is you want to achieve – and any vendor will be adamant that they’re the right guys to do it for you. But how do you cut through the marketing spiel to figure out if they really do have the tools and capabilities you need to get the job done in the best possible way?

ROI 75

ROI Dashboards Reporting Sales 75

Jet Global

MAY 21, 2019

The purpose of a business dashboard is to help you make quick, calculated decisions based on raw data. Instead of combing through data from different applications and spreadsheets, a manager should be able to open up a dashboard and quickly get a visual status update on a specific project. When you have a dashboard that transforms your data and provides timely operational visibility, you are able to easily assess, track, and respond to changes that impact performance – without any worries of ina

Dashboards 75

Dashboards KPI Business Intelligence Visualization 75

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

DataRobot

MAY 23, 2019

This blog is meant to be a fun and unique take on predicting which summer Disney 2019 movie will be the most popular and is a guest piece from our partners at Datatechnology, showcasing the Qlik and DataRobot integration.

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Smart Data Collective

MAY 22, 2019

The marketing profession has been influenced by big data more than almost any other field. Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. In the age of big data, marketers are able to take advantage of much more sophisticated analytics capabilities.

Optimization 79

Optimization Marketing Big Data Machine Learning 79

Sisense

MAY 22, 2019

In the B2B subscription economy, we’re all well acquainted with the popular adage: it’s more expensive to acquire a new customer than it is to keep a current customer happy. And before your organization allocates resources to improving customer satisfaction, you have to start at ground zero—your customer churn rate. According to Bill Gates, “Your most unhappy customers are your greatest source of learning.

Analytics 74

Analytics Dashboards B2B KPI 74

Dataiku

MAY 21, 2019

If this month’s Google I/O conference is any indication , then incorporating machine learning (and deep learning) into existing products and processes to make them more efficient or useful is the future. From healthcare to sales , deep learning has wide applications; and with last week’s launch of Hailo ’s newest deep learning chip, they will only get wider.

Deep Learning 74

Deep Learning Machine Learning Sales Data Science 74

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling