Jet Global

JANUARY 19, 2024

We all live in a network of stories. Jimmy Neil Smith, Director of the International Storytelling Center Introduction Picture it with me: a time when you were a child and someone read your favorite story to you, or when you were an adult and you read someone their favorite story.

Optimization 52

Optimization Visualization Finance Reporting 52

O'Reilly on Data

DECEMBER 12, 2023

If a human writes software to generate prompts that in turn generate an image, is that copyrightable? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model. How do we make sense of this?

Modeling 253

Modeling Software Sales Statistics 253

CIO Business Intelligence

JUNE 27, 2023

And that’s not surprising given that people have been writing about leadership and performance for a long time. Today, it’s all about data. That’s 21 skills and traits. Quite a list, just to start. Greek philosopher Plutarch (born c. Add “communicator” then to the list of must-have CIO adjectives.

Uncertainty 97

Uncertainty Risk Management Technology 97

Juice Analytics

APRIL 4, 2019

Preet Bharara, former United States Attorney for the Southern District of New York, shared some thoughts on writing his new book "Doing Justice" (from the New York Times Book Review podcast — starts at 21:30). Lots of people can write an article, but to sustain a book is difficult. Communicating to another data analyst isn’t the goal.

Visualization 97

Visualization IT 97

Juice Analytics

MAY 26, 2021

Why…a data story, of course! This is what happens when you write a blog post after learning your favorite sandwich shop is closing down…we’ll miss you Clawson’s ?? ). For data stories, that filling is the data visualizations. This is the bedrock on which the story is built. Same with a data story.

Metrics 93

Metrics Visualization Interactive IT 93

O'Reilly on Data

MAY 25, 2021

The compute power and data used by OpenAI to model GPT-n is available, and has been available to other corporations, institutions, nation states, and anyone with access to a computer desktop and a credit-card. The prompt influenced GPT-3 to write about the $GME stock and Melvin Capital, not the original dataset it was trained on.

Modeling 346

Modeling Marketing Testing Machine Learning 346

Jet Global

DECEMBER 13, 2023

In the intricate world of finance, numbers are more than mere figures; they are the threads that weave the tapestry of a company’s story. Setting the Stage for Understanding Like any captivating story, financial narratives must begin by setting the stage. In financial storytelling, this urgency is the catalyst for action.

Strategy 52

Strategy Reporting Finance Visualization 52

Jet Global

APRIL 15, 2020

Financial storytelling involves using in-depth financial data and advanced financial reporting tools to build a narrative around financial performance. The Evolution of the CFO into the Chief Data Storyteller. That’s an exciting prospect, but also a complex challenge to turn data into something engaging and relevant.

Metrics 59

Metrics Finance Visualization Reporting 59

Jet Global

MARCH 19, 2020

How do you tell a compelling story using something as dry and dense as financial data? The F&A team could use a spreadsheet to explain the situation, but the information is so much richer presented as a story. No matter who your audience is, use these tips to make that story as clear and compelling as possible.

Visualization 59

Visualization Finance Consulting Reporting 59

O'Reilly on Data

FEBRUARY 15, 2022

I suspect it’s possible to do a fairly decent job without billions of parameters and terabytes of training data (though I may be naive). We tell stories because we want to. That was a choice, as was writing this article. But I chose to write this article. We’ve been storytellers, users of ambiguity, and liars.

Testing 293

Testing Modeling Measurement IT 293

IBM Big Data Hub

JULY 19, 2023

This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. Content creation : Personas, user stories, synthetic data, generating images, personalized UI, marketing copy, email and social responses and more.

Consulting 63

Consulting Machine Learning Manufacturing Optimization 63

Juice Analytics

JUNE 8, 2021

For all the data science skills, tools, and boot camps that are available, I still find that the missing link for many data analysts is the ability to communicate and convince after they’ve analyzed data. Ask the tough questions The common trap for data analysts is to become an order taker. in many organizations.

Visualization 116

Visualization Metrics Dashboards Reporting 116

Juice Analytics

JULY 6, 2018

Putting data on a screen is easy. Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making data-driven narrative that influences people.hard. Making it meaningful is so much harder.

Slice and Dice 83

Slice and Dice Predictive Modeling Visualization Data-driven 83

datapine

OCTOBER 30, 2019

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. The business intelligence industry has been revolutionized over the past decade and data reports are in on the fun. Read on to see why data reports matter and our top data reporting tips.

Reporting 127

Reporting Visualization Dashboards KPI 127

datapine

OCTOBER 10, 2019

A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data. How familiar they are with the data or KPIs.

Dashboards 146

Dashboards Visualization Sales Metrics 146

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. How To Write An Analytical Report? But these more traditional report-writing methods are usually clunky and time-consuming.

Reporting 245

Reporting Analytics Dashboards Sales 245

Depict Data Studio

JANUARY 17, 2022

Ready to tell a story with data? Here’s my definition of data storytelling , in case you missed the previous blog post. What Makes a Useful Data Story? Here are five thought-starter questions to help you uncover useful nuggets in your data. You were probably trained to approach data this way in grad school.

Reporting 59

Reporting Consulting Visualization Analytics 59

Cloudera

NOVEMBER 5, 2021

That’s why I am proud of our collaboration with Cloudera in making A Fresh Squeeze on Data – A picture book about problem-solving with DATA that encourages children worldwide to transform from passive spectators of technology disruption to active participants of positive change in their local communities and the world. .

Visualization 83

Visualization Uncertainty Insurance Machine Learning 83

Smarten

AUGUST 4, 2017

So as a gyani disseminating free gyan on the internet, I have chosen to write a few words on this. An Unnecessary Story. I believe that nobody likes an unnecessary story. A narrative created from data which is normal without the context is a powerless narrative. Data does not know the story.

Analytics 49

Analytics Sales Machine Learning Big Data 49

datapine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly. Business intelligence reporting, or BI reporting, is the process of gathering data by utilizing different software and tools to extract relevant insights.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. Trend 2: Decline of the dashboard.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Sisense

APRIL 13, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adjusting to meet these changes. If data science is your jam, there are so many exciting new developments in AI, machine learning, natural language processing, and graph databases that you could keep busy reading for days on end.

Uncertainty 83

Uncertainty Marketing Digital Transformation Forecasting 83

Depict Data Studio

MAY 8, 2023

All of these classes fall under the broad data communications umbrella. One class focuses on data analysis (cleaning and tabulating our raw datasets to get them ready for graphs). Class 1: Simple Spreadsheets: How to Analyze Data from Start to Finish in Excel Need to make sense of spreadsheets? Not sure where to start?

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Cloudera

SEPTEMBER 20, 2022

Moreover, while I endeavor to take a critical view of AI-assisted comic book art generation, I believe it’s impossible for me to write with complete objectivity. Stories can affect discourse, as well as inspire, educate, and otherwise move people. Data — where does it come from? Scope, motivation, and benefits.

Deep Learning 86

Deep Learning Cost-Benefit Risk Data-driven 86

Ontotext

JANUARY 20, 2022

They focus on business-specific information needs and how to properly source the needed data rather than analyze preexisting application models. Not every enterprise has access to frontend engineers who know how to write SPARQL queries. Building a single data graph across the three services.

Enterprise 52

Enterprise Unstructured Data Modeling Visualization 52

Sisense

JUNE 26, 2020

The human brain processes visual data better than any other kind of data, which is good because about 90% of the information our brains process is visual. The brain processes data in visuals or images faster than data in text or rows of numbers. What are data visualizations? The good news is, you don’t have to!

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

Rita Sallam

AUGUST 17, 2016

Just yesterday, Saleforce announced its intention to buy smart data discovery vendor, BeyondCore, a new Visionary entrant to this year’s BI and Analytics Magic Quadrant ! At the end of July, Workday announced its intention to acquire Platfora , one of the original Hadoop-based data discovery vendors and new to the Niche quadrant of the MQ.

Scorecard 40

Scorecard Visualization Sales Marketing 40

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Domino Data Lab

JULY 21, 2019

Julia Lane , NYU Professor, Economist and cofounder of the Coleridge Initiative , presented “ Where’s the Data: A New Approach to Social Science Search & Discovery ” at Rev. The goal is to enable government agencies to make better evidence-based policy decisions with better quality data. Session Summary.

Metadata 65

Metadata Statistics Risk Machine Learning 65

Alation

OCTOBER 12, 2022

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. When choosing between qualitative and quantitative data, think about what you want to learn.

Statistics 52

Statistics Sales Testing Marketing 52

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Edwin Chen

OCTOBER 6, 2014

Hobb has a wonderful way with characters and narration. The story was absolutely heartbreaking and lead me wanting another book.". Indeed, the second suggestion looks more like a fantasy romance novel than the kind of fantasy that Robin Hobb tends to write. (So Analyze the data that comes back. Book covers matter!

Metrics 79

Metrics Measurement Machine Learning Testing 79

O'Reilly on Data

FEBRUARY 20, 2024

It’s also true for non-technical employees who may be trying to find insights from data in a spreadsheet, summarize a group of documents, or write text for a company report. Do you have the customer’s permission to sell the data that their transactions throw off? Does a company use data in ways that respect the customer?

Insurance 182

Insurance Modeling Technology Reporting 182

Alation

FEBRUARY 10, 2023

What do The Sopranos, Breaking Bad, and Data Radicals have in common? (No, All three programs completed their first seasons with audience appetites whetted for more stories — and we’ve got plenty of stories left to tell! That’s why I’m excited for the second season of Data Radicals , which launches on February 15.

Data-driven 52

Data-driven Broadcasting Strategy Sales 52

DataRobot

SEPTEMBER 21, 2021

Most modern jobs require computers for emails, report writing, or videoconferences. But there was a twist to the story – the human computers adapted and taught themselves to become highly valued programmers of the new machines. It is merely following patterns found in data. Back then, “computer” was a job title.

Modeling 119

Modeling Optimization Data Processing Technology 119

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Data presentation! The thing that is the difference between an organization that data pukes and the one that influences actions based on understandable insights.

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Occam's Razor

FEBRUARY 22, 2011

Just when you thought you were finally getting more comfortable with website analytics and the metrics you report, here comes the massive explosion of mobile data! At one level it is the normal impressions and clicks data, but on another level we are getting new data and metrics we normally don't use. How cool is that!

Analytics 113

Analytics Advertising Metrics Measurement 113