O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Politics, personalities, and the tradeoff between short-term and long-term outcomes can all contribute to a lack of alignment. The Core Responsibilities of the AI Product Manager. Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

JANUARY 4, 2024

In the fast-evolving world of finance, data security is of paramount importance. Financial institutions must ensure the protection of sensitive personal information, most commonly payment card data, to maintain, trust and meet various regulatory requirements.

Optimization 105

Optimization Cost-Benefit Reporting Enterprise 105

Ontotext

FEBRUARY 9, 2024

They can simply type or speak their queries, resembling how they would ask another person a question. They can simply type or speak their queries, resembling how they would ask another person a question. NLQ allows users to interact with databases or systems in a more intuitive and user-friendly way.

Manufacturing 69

Manufacturing Modeling Interactive Business Intelligence 69

datapine

OCTOBER 17, 2019

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. They collect data from various departments of the company tracking key performance indicators ( KPIs ) and present them in an understandable way. What Is A Management Report?

Reporting 263

Reporting Management Dashboards KPI 263

CIO Business Intelligence

JANUARY 12, 2023

Abdulai Nelson also has a personal interest in drones as a proven and effective way to improve agriculture. Indeed, in Ghana and others across the continent, drones are used for mapping, pesticide spraying, soil and data analysis, and farm monitoring to improve productivity while maximizing the use of labor.

IoT 143

IoT Consulting Internet of Things Technology 143

CIO Business Intelligence

AUGUST 9, 2023

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels. Moreover, digital transformation means doing all that work on a continuous basis.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

Sisense

JULY 27, 2021

America’s pastime has been all about data since the first box scores were written down, but modern analytics are changing how pitchers and hitters interact. Check out how Major League Baseball (MLB) is using data to crack down on “sticky stuff.” Major League Baseball battles against pitchers’ use of “sticky stuff” — backed by data.

Analytics 52

Analytics Data-driven Statistics Measurement 52

CIO Business Intelligence

MARCH 8, 2023

According to Infosys research, data and artificial intelligence (AI) could generate $467 billion in incremental profits worldwide and become the cornerstone of enterprises gaining a competitive edge. The reality is many organisations still struggle with the data and analytics foundations required to progress down an advanced AI path.

Enterprise 52

Enterprise Data Governance Data Strategy Testing 52

Insight

APRIL 28, 2020

Originally posted on Open Data Science (ODSC). In this article, we share some data-driven advice on how to get started on the right foot with an effective and appropriate screening process. Designing a Data Science Interview Onsite interviews are indispensable, but they are time-consuming. Do they take and receive feedback well?

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney.

Enterprise 273

Enterprise Modeling Testing Reporting 273

O'Reilly on Data

JULY 20, 2021

Ownership: Who owns all of the data and services attached to the device that multiple people are using? All of the problems we’ve listed start with the idea that there is one, registered, and known person who should use the device. Someone buys the device and sets up the account; it’s their device, their account.

Risk 306

Risk Software Interactive Modeling 306

O'Reilly on Data

JULY 25, 2023

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. For instance, problems like “write a Python function that takes a list of names, splits them by first and last name, and sorts by last name.” This article summarizes what I learned from that experience.

Consulting 246

Consulting Interactive Software IT 246

DataKitchen

NOVEMBER 18, 2021

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Add all these facts together, and it paints a picture that something is amiss in the data world. . The top-line result was that 97% of data engineers are feeling burnout. .

Testing 246

Testing Data Governance Measurement Software 246

CIO Business Intelligence

SEPTEMBER 21, 2023

Storing too much (or too little) data Software developers are pack rats. Even at the lowest costs of cold storage offered by some of the cloud vendors, the little charges can be significant when the data is big. To make matters worse, finding the right bits gets harder as the data lakes get filled to the brim.

Enterprise 121

Enterprise Software Data Lake Risk 121

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. Adjustments to clean the data: missing values, anomalies, level changes, and transformations.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CDW Research Hub

NOVEMBER 17, 2021

Before big data and the cloud, it wasn’t a big deal for organizations to create and manage their own data. So, how can organizations get back in the driver’s seat when it comes to their data? Here are five ways you can simplify data management and stop data silos in their tracks. Prioritize data protection.

Strategy 83

Strategy Data Governance Data Warehouse Data-driven 83

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Smart Data Collective

MAY 19, 2022

Big data technology is incredibly important in many aspects of modern business. The sales profession is one of the areas most affected by data. There are many ways that big data is helping companies improve sales. Big Data is Helping Improve Sales Processes Via Automation. Companies spent $2.8

Sales 131

Sales Big Data Cost-Benefit Marketing 131

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

MAY 8, 2019

In contrast, some researchers who are exploring the definitions, possibilities, and limitations of model interpretation point toward more comprehensive views. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. Overview Human-labeled data is ubiquitous in business and science, and platforms for obtaining data from people have become increasingly common. Some of this data is human-labeled.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

JANUARY 7, 2019

What your boss wants most this year, more than love, is to be told what the data wants her to do. Take your first steps towards unlocking smart algorithms. Machine Learning algorithms will make our data smarter in unparalleled ways; Session Quality and Smart Bidding offer early clues about the scale and type of intellect.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

FineReport

NOVEMBER 25, 2020

With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it. Instead, data is drawn from a centralized source and displayed as an easy to interpret visual overview. What Makes a Great Dashboard? FineReport.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

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. Yeah, not so much.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up against. What information is meaningful towards that purpose?

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Then you build a massive data store that you can query for data to analyze. They also reveal things that starting to become scary (Privacy! EU Cookies!) Let's do this!

Modeling 124

Modeling Metrics Data Quality Data-driven 124

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

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

IT 81

IT Data Governance Modeling Cost-Benefit 81

Occam's Razor

OCTOBER 19, 2010

I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), the analysis of qualitative and quantitative data from your website and the competition, 2. recommending tools for the complete web analytics 2.0 Well that ends today.

Analytics 135

Analytics Testing Measurement Optimization 135

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. But what are “trends”?

Machine Learning 363

Machine Learning Software Testing Technology 363

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven? It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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). Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

Jet Global

JANUARY 19, 2024

Personally, I thought about reading the book, “Guess How Much I Love You,” to my daughter when she was young and how she would sit on my lap and hang on to every word. In particular, we are regularly asked to tell stories with data; the rest of this article focuses on how we can optimize our data storytelling.

Optimization 52

Optimization Visualization Finance Reporting 52

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52