Ontotext

MARCH 24, 2021

For these reasons, we have applied semantic data integration and produced a coherent knowledge graph covering all Bulgarian elections from 2013 to the present day. A consistent electoral process is at the foundation of every modern democracy. The data shared by the CEC represents the election process at the most granular level.

Statistics 142

Statistics Publishing Data Processing Metrics 142

Occam's Razor

FEBRUARY 25, 2014

Finally, this is picky, but why is most of the x-axis yearly and then suddenly just until Q2, 2013? There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. More on that here: DC-DR-DA: A Simple Framework For Smarter Decisions.). All well and good.

Visualization 145

Visualization Key Performance Indicator Dashboards Metrics 145

Occam's Razor

JANUARY 2, 2013

[My favorite is Visitor Analytics, and visitor level segmentation that will be pervasive throughout the product. This is insanely cool.]. But it turns out Google Analytics, just like SiteCatalyst, WebTrends, and other web analytics tools, already has plenty of pretty valuable deeply insightful stuff in it. Everything here's simple. Visit them.

Strategy 160

Strategy Analytics Reporting Metrics 160

Howard Dresner

JULY 29, 2013

Having just recently published our 2013 Wisdom of Crowds® Business Intelligence Market Study, the group attending one of my recent Friday #BIWisdom tweetchats on Twitter wanted more insights on several of the study’s findings. And financial metrics are a great starting place, especially for a public company. a #BIWisdom member asked.

Business Intelligence 40

Business Intelligence Marketing Finance Data-driven 40

Sisense

MAY 26, 2020

In April 2013, Sisense announced a $10 million series B funding round led by Battery Ventures, with participation from Genesis Partners and Opus Capital.” It’s a huge challenge to process that data and get useful information out of it. It also involves converting all text to lowercase. can’t” becomes “can not”).

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Cloudera

MARCH 11, 2022

Better monitoring and debugging performance issues by exposing disk read and write metrics. Question rates on Stackoverflow show JSON overtaking XML, SOAP and CSV around 2013, making it one of the most popular formats for developers. Kafka Updates: Deployments with Kafka 2.5 clusters can now be upgraded to Kafka 2.8, 27 and 2.8.

Metrics 107

Metrics Management Enterprise IT 107

Sisense

JUNE 8, 2020

“This ability to pull data sets together from a cloud-native environment for better transparency and faster decision making, in turn, can give analysts the speed they need to answer questions quickly and more accurately with more data collaboration,” Lee added. Deeper insights from bigger data sets. This is especially important in times like this.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

AWS Big Data

MARCH 13, 2024

Each service implements k-nearest neighbor (k-NN) or approximate nearest neighbor (ANN) algorithms and distance metrics to calculate similarity. You can track metrics from here. This is where the Retrieval Augmented Generation (RAG) technique comes in. Ray is an open source, Python, general purpose, distributed computing library.

Data Processing 123

Data Processing Dashboards Machine Learning Metrics 123

IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Containerization involves packaging software code with the libraries and dependencies required to run the code.

Dashboards 71

Dashboards Data Processing Metrics Cost-Benefit 71

Domino Data Lab

AUGUST 22, 2019

Removing stop words: These are frequently occurring words that tend to contain relatively little distinctive meaning, such as the , at, which , and of. There is no universal consensus on the precise list of stop words, but depending on your application it may be sensible to ensure that certain words are (or aren’t!) considered to be stop words.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Insight

MAY 7, 2020

Felicia first started working on diversity initiatives back in 2013, when she built an employee resource group (ERG) at VMware. Felicia recommends starting by asking yourself some questions that go beyond surface-level metrics: Has my own team received any training on inclusive hiring practices? They weren’t being promoted.

Metrics 68

Metrics Data Processing Strategy IT 68

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g.,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

DMBS2

MAY 20, 2018

My two central examples have long been inaccurate metrics and false-positive alerts. The ongoing rise of “edge computing” and the “Internet of Things” fit into the general trend that in 2013 I summarized as appliances, clusters and clouds. So let’s start with this. But in others it’s a mess.

Internet of Things 50

Internet of Things Predictive Analytics Metrics Enterprise 50

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Sisense

JUNE 26, 2020

Both Python and R are advanced coding languages that can produce beautiful images that allow humans to understand vast datasets with ease. In this article, we’ll look at the ways both languages do it and give you some code you can use to create visuals of your own! What are data visualizations? Import Libraries. Iris Dataset is a balanced dataset.

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 90

Forecasting Data Warehouse Machine Learning Modeling 90

Domino Data Lab

APRIL 21, 2021

The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data. from sklearn import metrics. from sklearn import metrics. It can be implemented as either unsupervised (e.g.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

AWS Big Data

JULY 25, 2023

As their workload evolved, Alcion engineers tracked OpenSearch domain utilization via the provided Amazon CloudWatch metrics, making changes to increase storage and optimize their compute resources. Niraj is a recipient of over 15 innovation awards, including being named CIO of the year in 2014 and top 100 CIO in 2013 and 2016.

Cost-Benefit 80

Cost-Benefit Modeling Management Optimization 80

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. This is important because unlike diabetes or high blood pressure we don’t yet have clear metrics for Parkinson’s. For example, the Michael J.

Machine Learning 50

Machine Learning Internet of Things Data-driven Big Data 50

Occam's Razor

APRIL 15, 2019

Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics). Our Market Share in the 2-ton truck market shrunk by 1.5% (= -$3 bil). Negative data. Accurately collected. Intelligently analyzed. Factually presented. Why be hurtin’?

Measurement 80

Measurement Strategy Data Processing Uncertainty 80

O'Reilly on Data

APRIL 23, 2024

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? Why is it now subject to the same kind of antitrust complaints faced by Microsoft, once the “evil empire” of the previous generation of computing?

Advertising 334

Advertising Cost-Benefit Marketing Risk 334

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Business results suffer. There is something in humans that makes us want to do the hard things, to shoot for the most complex right away, to want to be challenged to infinity. Beat Motrin.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons. That's it.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

Occam's Razor

AUGUST 9, 2016

Along the way I'll share some of my favourite metrics and analytics best practices that should accelerate your path to becoming a true Analysis Ninja. At this point you'll be a little confused about some metric or the other. Go, read one of the best pages in the Analytics help center: Understanding Dimensions and Metrics.

Analytics 110

Analytics Metrics Reporting Strategy 110

Occam's Razor

DECEMBER 3, 2012

It is not just what you do to attract traffic (what most people think of as marketing and advertising), but also what types of experiences you create (something people rarely think is marketing) and how good you are at delivering for where you should be in 2013 rather than 2009 (only the rarest of marketers think with this lens on).

Marketing 149

Marketing Advertising Strategy Optimization 149

Occam's Razor

MARCH 10, 2015

" That was a half-cheeky reply. But, if you reflect upon the developments in analytics over the last couple of years it is incredible to see that we, web analytics, have moved so quickly towards the aforementioned outcome. In fact, even the term digital analytics is too stifling. Moving us away from our digital only silo?

Strategy 153

Strategy Analytics Measurement Business Analysis 153

Occam's Razor

SEPTEMBER 21, 2015

Even if you have really amazing why and so what , I've observed many Analysts die at the last mile: Presenting their whys and the so whats, in the form of stories. In fact 86.4% of all Analyst careers fail due to a lack of this critical last mile skill! It is really 88%. : ). Tom Fishburne's wonderful cartoon is here for another purpose.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

Occam's Razor

OCTOBER 14, 2014

Here's the complete year 2013… While the numbers for individual month are different, you can see that October spiked and then things came down to below Sept performance by December. Conversion rate is one of those metrics that I strongly encourage you only create benchmarks for from your own data. Own data benchmarks.

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

Occam's Razor

APRIL 29, 2013

A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. Small data. Silly not in their eyes, silly in my eyes.

Marketing 166

Marketing Metrics Advertising Measurement 166

IBM Big Data Hub

FEBRUARY 22, 2024

The DoD can lay a sturdy foundation to accomplish this by improving AI literacy and partnering with trusted organizations to develop governance aligned to its strategic goals and values. AI literacy is a must-have for security It’s important that personnel know how to deploy AI to improve organizational efficiencies.

Metadata 91

Metadata Measurement Risk Modeling 91

Jet Global

MAY 1, 2023

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company. It will show you how to select the right solution and what investments are required for success. that gathers data from many sources. Consider Delta.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an an aspiring author?—?finished finished his first novel, Cuckoo’s Calling. It had all the trappings of a great story: a suspicious death, a private investigator haunted by his past, intrigue, pace, and misdirection. often without even looking at it. often without even looking at it. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

FEBRUARY 24, 2025

In its Technology Leaders Survey, IBM reports that only 36% of CEOs say IT is effective at providing basic technology services, down from 64% in 2013; 50% of CFOs rate the IT organization as efficient, down from 60% in 2013; and only 47% of surveyed tech leaders say as much, down from 69%. Most telling could be a 2024 report from IBM.

IT 140

IT Measurement Metrics Cost-Benefit 140

CIO Business Intelligence

DECEMBER 18, 2024

in previous years and the lowest since 2013. Worse still, the ratio of actively disengaged employees in North America has dropped to 1.8 engaged employees for every disengaged worker, down from 2.1 This disengagement is costing an astounding $7.8 trillion in lost productivity. Right now, it boasts an IQ of 120 in nearly every vocation.

Deep Learning 98

Deep Learning Interactive Reporting Digital Transformation 98

CIO Business Intelligence

JANUARY 2, 2025

The 2024 NACD Blue Ribbon Commission Report, Technology Leadership in the Boardroom: Driving Trust and Value , was released in early October 2024. This report from the NACD examines the impact of technology and data on corporate governance. It provides practical guidance on how to implement these recommendations, including tools and checklists.

Reporting 52

Reporting Technology Enterprise Cost-Benefit 52