Smart Data Collective

DECEMBER 16, 2020

Especially popular in smart home IoT deployments. Typical use: smart home appliances like smart doorbells, smart thermostats, smart security camera, Amazon Echo, etc. A great thing about a mesh network is that when one device (one node) goes off, the rest can still function to send and receive data.

IoT 81

IoT Optimization Internet of Things Technology 81

bridgei2i

MAY 20, 2021

It eliminates friction, enhances data analytics, and augments better resource utilization across organizations. AI is becoming the critical component of high-quality customer service. AI predictive analytics tools can analyze data more accurately. According to Gartner, AI augmentation will create $2.9 Personalized Content.

Sales 59

Sales Predictive Analytics Marketing Interactive 59

CIO Business Intelligence

APRIL 27, 2022

As a technology company you can imagine how easy it is to think of data-first modernization as a technology challenge. Data fabric, data cleansing and tagging, data models, containers, inference at the edge – cloud-enabled platforms are all “go-to” conversation points. and “how to do it?” and “how to do it?”,

Strategy 141

Strategy Data-driven Internet of Things Measurement 141

The Unofficial Google Data Science Blog

JULY 18, 2023

by MICHAEL QUINN, JEREMY MILES, KA WONG As data scientists, we often encounter situations in which human judgment provides the ground truth. How do we think about the quality of human ratings, and how do we quantify our understanding is the subject of this post. Some of this data is human-labeled.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Smart Data Collective

AUGUST 23, 2020

Big data has led to a number of changes in the digital marketing profession. The market for big data analytics in business services is expected to reach $274 billion by 2022. A large portion of this growth is attributed to the need for big data in the marketing field. Big data is becoming more important to modern SEO strategies.

Data-driven 84

Data-driven Strategy Big Data Marketing 84

Cloudera

APRIL 7, 2021

They expect (and often demand) easy and quick access to information and high-quality service. Finally, the connected car, connected home, and connected self are generating an enormous amount of data. Data — Too much and Too little. In order to get from here to there, insurance companies need to focus on data management.

Insurance 57

Insurance Digital Transformation Internet of Things IoT 57

Peter James Thomas

AUGUST 30, 2018

Based on Kaggle’s State of Data Science Survey 2017 (Sample size: 10,153). The text in the above exhibit is not that clear [2] , so here are the 20 top challenges [3] faced by those running Data Science teams in human-readable form: #. Dirty Data. Lack of Data Science talent in the organization. Privacy issues.

Data Science 75

Data Science Data Quality Machine Learning Business Intelligence 75

Depict Data Studio

JANUARY 23, 2023

The answer, surprisingly, is that the crash was caused by a classic case of BAD DATA. That’s right–this spacecraft, this wonder of science, was rendered useless by bad data being entered into its flawless system. Collecting Survey Data at HOPE International So what exactly does this have to do with spreadsheets?

Testing 52

Testing Metrics IT Software 52

Depict Data Studio

NOVEMBER 2, 2021

Andrew Forsman is a Depict Data Studio student and self-described “data viz nerd” who has over 10 years of experience helping organizations plan for, execute, and learn from research and evaluations. They’re here this week sharing time-saving tips on using a voice command and dictation software called Dragon to help with data viz.

Software 98

Software Publishing Testing IT 98

Depict Data Studio

APRIL 11, 2019

A couple years ago, I was invited to be the keynote speaker for the Continuous Quality Improvement Conference in Illinois. Later, during the live keynote, I shared a few data visualization principles. Here’s one of my favorite submissions: This conference attendee worked at an organization that placed children into foster care homes.

Visualization 56

Visualization Dashboards Reporting IT 56

Depict Data Studio

MARCH 27, 2023

and Europe , with most people using data for part/all of their job. There weren’t any specialty art supplies needed; these were all supplies that you’d have laying around your home somewhere. But nothing compares to quality online training where your brain is fully immersed in the topic alongside the instructor and peers.

Visualization 52

Visualization Consulting Experimentation Dashboards 52

Insight

APRIL 8, 2020

With a properly designed interview process, teams can effectively and efficiently assess whether an applicant has the right set of data engineering skills without having to physically be in the same room. In some cases, they work to deploy data science models into production with an eye towards optimization, scalability and maintainability.

Cost-Benefit 96

Cost-Benefit Software Data Warehouse Optimization 96

Insight

MARCH 25, 2020

In this blog, I will share how I built Pair , a scalable web application that takes in a product image, analyzes its design features using convolutional neural network, and recommends products in other categories with similar style elements. Both approaches analyze structured tabular data from the users or items.

Deep Learning 53

Deep Learning Metrics Data Processing Interactive 53

BI-Survey

OCTOBER 27, 2020

The data in the browser is collected top-down from different sources and combined with data from the questionnaire completed by the vendors themselves. Depending on the data you provide, you will be visible in one, two or all three browser objects. What happens with my data? What does the website offer?

Consulting 52

Consulting Software Marketing Metadata 52

FineReport

MARCH 9, 2023

Supervise the Entire Operation To gather enough concrete facts for your report, you should supervise the entire operation regularly and collecting the necessary data. Recording subordinates’ performance and data on paper is not an efficient way to collect and utilize data in the future.

Reporting 52

Reporting Visualization KPI Sales 52

bridgei2i

APRIL 23, 2020

In this fluid situation, banks anticipate their risks to grow manifold under various categories: Banks will monitor portfolios at a much granular level and use agile methodology. Clients of banks will face stretched financial conditions, affecting their credit quality/ratings. Understanding & Managing Risks.

Risk 52

Risk Management Scorecard Forecasting 52

O'Reilly on Data

OCTOBER 22, 2020

Understanding the company’s true purpose unlocks the business model and sheds light on what is useful to do with the data. Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models. How did you obtain your training data? Source: Shane.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

Occam's Razor

FEBRUARY 9, 2015

When you are done reading the post, you'll be super mad that your marketing strategy is not more influenced by your competitor's data! Since then, as luck would have it, we have more tools, they are smarter, and have richer data-sets. How is competitive intelligence data collected? CI data collection.

Metrics 155

Metrics Reporting IT Advertising 155

Edwin Chen

JANUARY 7, 2013

In contrast to batch systems like Hadoop, which often introduce delays of hours or more, Storm allows us to run online data processing algorithms to discover search spikes as soon as they happen. A topology itself consists of three things: Tuple streams of data. In our case, these may be tuples of (search query, timestamp). (See

Statistics 73

Statistics Machine Learning Advertising Metadata 73

Occam's Razor

OCTOBER 14, 2014

We are all blessed with more data than we know what to do with, and all for the price of a few lines of JavaScript added to your website. Own data benchmarks. Industry analyst data benchmarks. Competitor data benchmarks. Vendor data benchmarks. Own data benchmarks. So how can you use your own data?

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Peter James Thomas

OCTOBER 30, 2018

Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers. Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation).

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

Occam's Razor

JUNE 4, 2018

This data you’ll see, the analysis you’ll do, will scare you. Below is a collection of nudges, curated from my global experiences, influenced by research and data I’ve access to. This shows hunger and desire to win… Their text: This image displays the quality of Kendrick's cabling that we use on all Premier and FireFly heaters.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 309

Enterprise Deep Learning Data Governance Risk 309

Occam's Razor

JANUARY 2, 2013

The stories and examples will hopefully help you intelligently approach your own data in these reports and quickly find insights you can action / share with your management team. Great landing pages equals more customers enticed to engage plus higher conversions plus higher (AdWords) quality score. Identify ones with high bounce rates.

Strategy 159

Strategy Analytics Reporting Metrics 159

Domino Data Lab

AUGUST 29, 2019

As Domino seeks to help data scientists accelerate their work, we reached out to AWP Pearson for permission to excerpt the chapter “Deep Reinforcement Learning” from the book, Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence by Krohn, Beyleveld, and Bassens. GBpersec ]. Let’s return once more to Figure 13.1.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Depict Data Studio

MARCH 3, 2020

Jon is an economist, writer, teacher, and creator of policy-relevant data visualizations. After traveling all over the world to provide data visualization training for the past six+ years, I’ve made list of tips from the point of view as an international dataviz speaker. because most training settings have poor audio quality.

Reporting 59

Reporting Visualization Software IT 59

Occam's Razor

NOVEMBER 2, 2015

I believe that it was erroneous not to answer the two questions above, it was erroneous to be tempted by the Big Numbers and not understand how Social Media channels actually worked (streams, home pages, personalization, rankings and more). For B2C companies, for some categories there might be value in having an organic presence.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

CIO Business Intelligence

JULY 17, 2023

A retail shop has just opened at Johannisplatz square 10 in Jena—home to Carl Zeiss. When Carl Zeiss produced his microscope prototype years earlier, he created a high standard for precision and quality, using the most advanced, efficient manufacturing processes of the time. And you know where to go. Digital Transformation

Manufacturing 92

Manufacturing Snapshot Uncertainty Digital Transformation 92

Occam's Razor

SEPTEMBER 21, 2015

As in, the former is in the business of providing data, the latter in the business of understanding the performance implied by the data. We send out our multi-tab spreadsheets, our best Google Analytics custom reports , our great dashboards full of data , and more to the tactical layer of data clients.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Occam's Razor

JANUARY 30, 2012

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. Ravaging data.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Cloudera

SEPTEMBER 10, 2020

Underlying digital transformation and investment decisions is a precious asset: data. Now more than ever, decision-makers are looking to do more with their data. This is because the majority of IT departments find it near impossible to just ‘ramp up’ data use, and even more difficult to do so at scale.

IT 104

IT Digital Transformation Business Objectives Data-driven 104

datapine

SEPTEMBER 4, 2019

Exclusive Bonus Content: Download Data Implementation Tips! Get our free checklist to build high-quality business dashboards! It helps managers and employees to keep track of the company’s KPIs and utilizes business intelligence to help companies make data-driven decisions. Digital age needs digital data.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

Smart Data Collective

MAY 27, 2021

With online data acquisition on the rise, we are treading into mostly uncharted waters. Industry-wide regulations in web scraping and other forms of automated data collection are practically non-existent and we probably shouldn’t expect any in the near future. Non-)Public data.

Data Strategy 131

Data Strategy Strategy Data Collection Big Data 131

CIO Business Intelligence

MAY 10, 2023

Two other factors, in addition to its high-quality, personalized products, set MOD Pizza apart from the crowd. That works out to hundreds of MOD Squad events occurring every day such as hires, transfers, promotions, and separations, generating a lot of data. SAP solutions help MOD Pizza manage 400 event data changes daily.

Digital Transformation 52

Digital Transformation Finance Enterprise Management 52

Cloudera

AUGUST 27, 2021

With submissions for the Data Impact Awards coming in, we’re revisiting last year’s winners to find out what set them apart. . In 2020, Telkomsel took home the gold in the Industry Transformation category. . It’s end goal, to build a single digital platform to power data-driven decision-making. .

Digital Transformation 85

Digital Transformation B2B Cost-Benefit Big Data 85

IBM Big Data Hub

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. Our collective understanding of realized AI and theoretical AI continues to shift, meaning AI categories and AI terminology may differ (and overlap) from one source to the next. The three kinds of AI based on capabilities 1.

Machine Learning 73

Machine Learning Deep Learning Interactive Modeling 73

Occam's Razor

JANUARY 7, 2007

Yet there are numerous business decisions that need to me made during the course of implementation, many of which have huge data implications. 8: Validate data is being captured correctly. # Our websites are there for customers and secondarily for us to collect data from. : ). 4: What’s your unique page definition? #

Analytics 93

Analytics Data Collection Reporting Marketing 93