Cloudera

JUNE 8, 2021

Think of these success factors like the legs of a kitchen table and the results that you desire, a bowl of homemade chicken soup. Think of these success factors like the legs of a kitchen table and the results that you desire, a bowl of homemade chicken soup. Do they understand in very clear terms the objective and importance?

Manufacturing 85

Manufacturing Digital Transformation Metrics Measurement 85

AWS Big Data

OCTOBER 4, 2023

In this blog post, we share what we heard from our customers that led us to create Amazon DataZone and discuss specific customer use cases and quotes from customers who tried Amazon DataZone during our public preview. We are excited to announce the general availability of Amazon DataZone. Govern data access across organizational boundaries.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

Alation

APRIL 14, 2023

In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. Potent presentations DJ Patil served as the first Chief Data Scientist of the United States under Obama, and he kicked off the conference with a riveting keynote. Another week, another incredible conference! Let’s dive in!

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Darkhorse

MAY 29, 2020

A clear visual is often maddeningly hard to create. Or I can use a pivot table to get the same answer, but with less precision. —Blaise Pascal I was listening to a podcast the other day. The speaker had developed a theory that had really pushed his thinking. It was right on the edge of his ability to comprehend. Let’s take an example.

Visualization 87

Visualization Finance Modeling Data Science 87

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges. ’ What’s a Data Journey? .’

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Ontotext

AUGUST 24, 2023

Trade-offs of the standard provenance models Graph Replace is fast and simple to implement and we recommend it to people with batch updates. Trade-offs of the standard provenance models Graph Replace is fast and simple to implement and we recommend it to people with batch updates.

Data Integration 52

Data Integration Modeling Business Objectives Optimization 52

Jen Stirrup

JUNE 20, 2020

Also, I am putting some context back on the table, which has got lost in all the bickering. In efficient data science, we need to take our biases off the table in order to get a true picture of the data we are looking at. In this blog post, I am going to try to help you and me to understand, using PASS as an example.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Ontotext

JUNE 29, 2023

Is that spreadsheet you send to your partners related to the product features table on your website? With that in mind, we at Ontotext, together with our clients, approach the knowledge graph endeavor not as a one-off project that solves a specific need. Or is it only related to the data your colleagues send to Google Merchant Feed?

Cost-Benefit 59

Cost-Benefit Data-driven Data Quality Enterprise 59

Occam's Razor

MARCH 7, 2022

words I’ve written on this blog thus far, at least 400,000 have been dedicated to helping you find insights. Oh, please, I can also see that on the table with my eyes. This blog post was originally published as an edition of my newsletter TMAI Premium. In the 807,150 (!) Go for insights! The Problem. I CAN SEE THAT!

Key Performance Indicator 101

Key Performance Indicator Strategy Marketing Publishing 101

Darkhorse

OCTOBER 1, 2019

This is part one of a two-part series on building effective visualizations. In this post, we take a shallow dive into evaluating existing visualizations. In the next post, we’ll dive a little deeper as we explore techniques on how to improve them. It’s very easy to visualize data. The problem is that it’s rarely done well. Try it out for yourself.

Visualization 93

Visualization Contextual Data Measurement Interactive 93

Sisense

DECEMBER 9, 2019

One of the biggest pitfalls in data is the preservation of insights when analysis is handed off from the data team to a business professional. One of the biggest pitfalls in data is the preservation of insights when analysis is handed off from the data team to a business professional. Preserving insights. Work from a blueprint.

Dashboards 97

Dashboards Visualization KPI Strategy 97

Jen Stirrup

JULY 26, 2021

This blog is about encouraging intersectionality as part of diversity and inclusion. During the COVID-19 pandemic, Black women in the US have been nearly twice as likely as white men to report that they’d either been laid off, furloughed, or had their hours and/or pay reduced ( Reference ). We are not one-sided. Diversity in the Cloud.

IT 91

IT Technology Visualization Interactive 91

Sisense

JULY 8, 2020

Add to this the company’s own internally-gathered product data and it’s clear that even a small or medium-sized business can do a lot with the data at its disposal. Add to this the company’s own internally-gathered product data and it’s clear that even a small or medium-sized business can do a lot with the data at its disposal.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. Big data is cool again.

IT 109

IT Data Architecture Unstructured Data Big Data 109

Andrew White

JUNE 29, 2020

Back in April as the Covid-19 reset was winding itself around the global economy I asked in a blog if your company had stashed enough cash away. It so happens that in this weekend’s US print edition of the Financial Times, there was an article that suggests where to look for these riskiest of firms. It cannot continue ad infinitum.

Analytics 40

Analytics Finance Marketing Risk 40

datapine

JUNE 5, 2019

Let’s kick things off by asking the question: what is a data dashboard? Data is all around us. According to the EMC Digital Universe study, by 2020, around 40 trillion megabytes – or 40 zettabytes – will exist in our digital landscape. That’s an unfathomable amount of information. Dashboards Answer Critical Business Questions.

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Dashboards KPI Sales Visualization 316

datapine

JUNE 22, 2022

Table of Contents. Let’s hit it off with a definition! 1) What Are KPI Goals? 2) What Are KPI Targets. 3) Benefits Of Setting KPIs Targets & Goals. 4) How To Set KPIs Targets? 5) How To Implement A KPI System? 6) KPI Targets Examples. One of the most powerful ones being key performance indicators (KPIs). What Are KPI Goals?

KPI 152

KPI Key Performance Indicator Measurement Cost-Benefit 152

erwin

MAY 18, 2022

First, erwin Data Intelligence 12.0 delivers new integrated data quality capabilities for customers. Customers then use the erwin Data Quality platform to automate the data discovery, profiling and quality assessment of their data sources. Figure 1: erwin Data Intelligence 12.0 automates data profiling and quality assessment. Another exuberant 12.0

Data Quality 52

Data Quality Metadata Data Governance Software 52

Juice Analytics

MARCH 11, 2021

Without this focus, a data product comes in the form of a massive 100-page PowerPoint deck or a collection of raw data tables. There may be value in the data, but it is clear the product manager hasn’t thought deeply about their customers and what the data can do to solve their problems. Your users are your guidepost.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. This blog post was originally published as an edition of my newsletter TMAI Premium. It truly is the bee's knees. People have become Gurus hawking it.

Experimentation 101

Experimentation Testing Optimization Marketing 101

The Unofficial Google Data Science Blog

APRIL 23, 2024

This blog post discusses such a comprehensive approach that is used at Youtube. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (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

Domino Data Lab

OCTOBER 7, 2020

In this blog we show what the changes in behavior of data are in high dimensions. In our next blog we discuss how we try to avoid these problems in applied data analysis of high dimensional data. Danger of Big Data. Big data is the rage. Consider a two dimensional space defined by the height and weight of grade school students.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

Data Insight

APRIL 15, 2019

This is only possible with data and to succeed, it has to be fully supported at the top executive table as central to the company’s decision-making and everything it does. What is promising is that 43% of respondents said their companies were in the process of developing data capability.

Data-driven 40

Data-driven Strategy ROI Data Strategy 40

Cloudera

AUGUST 31, 2020

Service Management Group ( SMG ) offers an easy-to-use experience management (XM) platform that combines end-to-end customer and employee experience management software with hands-on professional services to deliver actionable insights and help brands get smarter about their customers. The case for a new Data Warehouse? The Offload Journey .

Slice and Dice 64

Slice and Dice Management Data Warehouse Analytics 64

Cloudera

JANUARY 21, 2021

When you go to Central IT for support, are you blocked by insanely long wait times for the resources needed to meet your business goals? If so – you are likely one of the growing group of Line of Business (LoB) professionals forced into creating your own solution – creating your own Shadow IT. Must you be: . Must you be: .

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

datapine

FEBRUARY 9, 2024

Table of Contents 1) What Is KPI Management? 4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs.

KPI 221

KPI Management Key Performance Indicator Measurement 221

Cloudera

OCTOBER 22, 2020

To maintain transparency about our diversity and inclusion (D&I) progress, we’ve asked her to share her vision for Cloudera’s future, and the initial steps she’s taking to help us get there. Q1: What drew you to work in the D&I space? . I thought, this can’t be right! We need to change things. . Where do you want to start?

Management 66

Management Finance IT Reporting 66

AWS Big Data

JUNE 15, 2023

In this post, we explain how you can enable business users to ask and answer questions about data using their everyday business language by using the Amazon QuickSight natural language query function, Amazon QuickSight Q. Powered by ML, Q uses natural language processing (NLP) to answer your business questions quickly.

Sales 66

Sales Dashboards Visualization Testing 66

Jen Stirrup

OCTOBER 30, 2022

” Data mining is particularly useful when it can be applied to customer insight, and this blog will aim to apply DM to customer insight. What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Propensity to Churn.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Occam's Razor

OCTOBER 31, 2011

Data analysis is not easy. It takes years to get good at it, and once you get good at it you realize how much more there is to learn. That is part of the joy. You are always learning. You are always growing. This blogpost is a collection of tips I share with my friends who are just starting out. Never Compare Apples to Watermelons.

Statistics 130

Statistics Testing Reporting Key Performance Indicator 130

Occam's Razor

FEBRUARY 25, 2014

But if the occasion is a strategic discussion, any occasion about taking action on data, then you need to get off data as fast as you can. We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. All well and good. The last mile. Data presentation!

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Occam's Razor

SEPTEMBER 7, 2010

Tens of thousands of rows of keywords in the Search Report (even for this small blog!). Advanced table filters, tag clouds and keyword trees are a good start. Now when you sort the data off a percentage or a ratio, like in the above case, you'll see this on top of the table. The Problem. The problem? what to do.

Analytics 109

Analytics Metrics Reporting ROI 109

Occam's Razor

JANUARY 31, 2017

Very often the output of our work with Big Data or Small Data, Google Analytics or R, will end up in a few cells of a spreadsheet or a table in Word/Keynote/PowerPoint. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons. Hence my two obsessions above.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Occam's Razor

OCTOBER 14, 2014

should be 1,356,000), you've set a clear line in the sand as to what performance will be declared a success or a failure at the end of the measurement time period. should be 1,356,000), you've set a clear line in the sand as to what performance will be declared a success or a failure at the end of the measurement time period.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Occam's Razor

JANUARY 30, 2012

Use Table View Options (Comparison, Pivots, In-line Filters) – Faster Initial Insights. #4. It is painfully heartbreaking to realize that a very small tiny number of people who have access to web analytics tools actually use them. I mean really use the tools. Ravage all the features. Exploit every possible button. This post is all about that.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Occam's Razor

SEPTEMBER 21, 2015

The difference between a Reporting Squirrel and Analysis Ninja? As in, the former is in the business of providing data, the latter in the business of understanding the performance implied by the data. That understanding leads to insights about why the performance occurred, which leads to so what we should do. In fact 86.4%

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Cloudera

OCTOBER 19, 2022

The SMM UI is made up of multiple tabs, each of which contain different tools, functions, graphs, and so on, that you can use to manage and gain clear insights about your Kafka clusters. If you are a developer moving data in or out of Kafka, an administrator, or a security expert this post is for you. Kafka Connect.

Sales 72

Sales Interactive Statistics Management 72