Corinium

OCTOBER 16, 2019

One of the first questions new clients generally ask us is: “How do we maximize the value from our data?”.

Data Strategy 191

Data Strategy Strategy 191

datapine

OCTOBER 17, 2019

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. But, these reports are only as useful as the work that goes into preparing and presenting them. In this blog post, we’re going to give a bit of background and context about management reports, and then we’re going to outline 10 essential best practices you can use to make sure your reports are effective.

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Reporting Management Dashboards KPI 263

Analytics Vidhya

OCTOBER 14, 2019

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Analytics 307

Andrew White

OCTOBER 14, 2019

A debate resurfaced in our team recently as we were discussing plans for research topics next year. I am not actually sure why we do such things; the ‘year’ is an artificial thing we created to organize certain activities. Often it is more a strait-jacket that prevents continuous processes like innovation. But I digress. We were discussion ideas and brainstorming how they connect and impact each other, and one of our team said, “The model doesn’t matter to me.

Strategy 69

Strategy Modeling Forecasting Marketing 69

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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

Corinium

OCTOBER 14, 2019

Netflix’s recommendation engine may have made waves when the company’s streaming platform launched in 2010. But in the years that followed, the broadcast industry was surprisingly slow to adopt other AI or machine learning (ML) technologies.

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Broadcasting Machine Learning Technology 186

O'Reilly on Data

OCTOBER 17, 2019

People from across the AI world came together in London for the Artificial Intelligence Conference. Below you’ll find links to highlights from the event. When flying is cheaper than standing still. Raffaello D’Andrea presents his vision of how autonomous indoor drones will drive the next wave of robotics development. Watch “ When flying is cheaper than standing still “ When to trust AI.

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Machine Learning Structured Data 146

CIO Business Intelligence

OCTOBER 16, 2019

Business intelligence definition. Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business.

Business Intelligence 108

Business Intelligence Dashboards Strategy Software 108

KDnuggets

OCTOBER 16, 2019

A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.

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Statistics Machine Learning Business Intelligence 112

O'Reilly on Data

OCTOBER 17, 2019

This is a keynote highlight from the O’Reilly Artificial Intelligence Conference in London 2019. Watch the full version of this keynote on the O’Reilly online learning platform. You can also see other highlights from the event.

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Analytics Vidhya

OCTOBER 16, 2019

Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll. The post A Comprehensive Guide to Learn Swift from Scratch for Data Science appeared first on Analytics Vidhya.

Data Science 295

Data Science Analytics Machine Learning 295

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Data-driven

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Analyst firm Ovum recently released a new report titled Ovum Market Radar: Enterprise Architecture. In it, they make the case that enterprise architecture (EA) is becoming AE – or “architect everything” The transition highlights enterprise architect

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Enterprise Digital Transformation Data Governance Risk Management 106

Bruno Aziza

OCTOBER 13, 2019

You’ve read it in the papers. You’ve experienced it in life. Machines are taking over. And they are doing it fast. Siri turned 9 on October 4 (go ahead, ask her if you don’t believe me). Tesla’s first Autopilot program is also 9. And Alexa is less than 5 years old.

IT 104

IT 104

KDnuggets

OCTOBER 14, 2019

As an engineer, scientist, or researcher, you may want to take advantage of this new and growing technology, but where do you start? The best place to begin is to understand what the concept is, how to implement it, and whether it’s the right approach for a given problem.

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Technology IT 102

Analytics Vidhya

OCTOBER 15, 2019

Overview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to. The post Build your First Linear Regression Model in Qlik Sense appeared first on Analytics Vidhya.

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Modeling Business Intelligence Dashboards Reporting 208

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

OCTOBER 15, 2019

I’m a big admirer of Nancy Duarte and her new book DataStory. One thing that Nancy knows is that data communication isn’t just about data visualization — any more than a movie is just about moving images. Audiences are moved by a movie because of so much more: storyline, characters, conflict, context, mood, specificity, meaning, and relatability. She makes this point in a recent HBR article The more data we collect, the more mind-boggling these figures become.

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Sales Measurement Visualization Marketing 90

Sisense

OCTOBER 16, 2019

Blog. A Three-Step Guide for BI Professionals. Launching a new business intelligence initiative or project can be tricky: while we’re staunch believers in agile BI and quick wins, it’s important for both the BI person and the business executives to first align their needs and expectations, and to understand what the organization hopes to achieve. The good news is, an efficient business analyst can get it done in a day or two.

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Management IT Dashboards Business Intelligence 76

KDnuggets

OCTOBER 17, 2019

While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an AI or Machine Learning (Specialist/Scientist/Engineer.).

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Machine Learning Software 99

Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. For current and future software development companies that want to be knowledgeable about using data and analysis, a few big data skillsets will help give them leverage in the coming year.

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Big Data Software Data mining Prescriptive Analytics 76

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

DataRobot

OCTOBER 17, 2019

In the past 12 months, artificial intelligence has become headline news, and not always for the right reasons. We’ve heard stories of sexist AI hiring algorithms , racist face detection algorithms , and AIs using your private social media data to influence elections. Embarrassing AI failures such as these can damage your reputation, incur regulatory penalties, and even negatively impact a company’s stock prices.

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Sisense

OCTOBER 15, 2019

Blog. If you’ve come across a knowledge graph recently, then you know what I’m talking about when I say that these small sunbursts of data are worth their weight in information. A knowledge graph is a single place where you can find all your data and the interlocking relationships behind that data. Google search is enhanced with this technology, and LinkedIn uses knowledge graphs to boost its search, and business and consumer analytics.

Sales 73

Sales Data-driven Technology Enterprise 73

KDnuggets

OCTOBER 17, 2019

This post aims to make you get started with putting your trained machine learning models into production using Flask API.

Machine Learning 108

Machine Learning Modeling 108

Smart Data Collective

OCTOBER 14, 2019

Advances in mass storage and mobile computing brought about the phenomenon we now know as “big data.” These developments then ushered in solutions and tools that can process vast amounts of information — think terabytes of it or more — in real-time. That is how “big” the need for big data analytics came to be. More specifically, big data analytics offers users the ability to generate relevant insights from heaps of data.

Big Data 71

Big Data Data Analytics Analytics Unstructured Data 71

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

Jen Stirrup

OCTOBER 18, 2019

Here is my checklist of Azure infrastructure handy materials that I use for AZ101 students as homework or additional class learning. I was asked for this by one of my students and I thought I’d share it here. The focus here is on just some of the topics and it is not exhaustive: Azure Migrate. Azure Site Recovery. Disaster Recovery. Azure Migrate.

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Metadata Testing Reporting Management 68

TDAN

OCTOBER 15, 2019

Data Leadership hasn’t really been addressed before in the way I am talking about it in my new book; it is not about data at all — it is all about changing people’s behavior. We know a few truths about people: 1. People resist change. 2. People are watching out for themselves above all else. […].

IT 66

IT Data Strategy Data Governance Business Intelligence 66

KDnuggets

OCTOBER 18, 2019

If you want to launch your data science skills into freelance work, then check out these important tips to help you kick start your next adventure in data.

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Data Science Consulting 87

Smart Data Collective

OCTOBER 14, 2019

Regardless of if you’re a data science professional or an IT department who wants to help your company have more successful data science projects, it’s essential to have some data science tools under your belt to avail of when needed. Here are some open-source options to consider. 1. Ludwig. Ludwig is a tool that allows people to build data-based deep learning models to make predictions.

Data Science 71

Data Science Machine Learning Big Data Interactive 71

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

Jen Stirrup

OCTOBER 14, 2019

As a freelance industry analyst who has worked with GigaOm , I’m pleased to see the GigaOM Transactional Field Test derived from the industry-standard TPC Benchmark E (TPC-E) report which compares Amazon Web Services Relational Database Service (AWS RDS) and Microsoft Azure SQL Database. It’s written by William McKnight and Jake Dolezal from GigaOm.

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Data mining IT Business Intelligence Testing 67

Octopai

OCTOBER 17, 2019

We’ve recently discussed in this space the difference between data dictionaries and business glossaries , and why each is important to a data-driven business (which these days, is pretty much every business). Today we’ll go a bit more in-depth about business glossaries and what companies need to consider when building and maintaining one. Managing a business glossary is not a “set it and forget it” proposition—it takes continuous effort to keep it current and in sync with the evolution and growt

Metadata 65

Metadata Reporting Data-driven Enterprise 65

KDnuggets

OCTOBER 14, 2019

Selecting the perfect machine learning model is part art and part science. Learn how to review multiple models and pick the best in both competitive and real-world applications.

Machine Learning 83

Machine Learning Modeling 83

IBM Big Data Hub

OCTOBER 14, 2019

We recommend Cloud Pak for Data to our clients who are considering machine-learning based Data analytics to get best ROI out of the volumes of data they accumulated over the years.

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ROI Machine Learning Data Analytics Analytics 62

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