Business Over Broadway

MARCH 8, 2021

Ways of improving gender diversity in the field of data science are offered. US Labor Force Statistics for Selected Occupations. Annual Salaries of Data Professionals from the US. Using data from 2018 and 2019, the US Census Bureau estimates that, for every dollar that men earn, women earn 81.6 Salary Differences.

Data Science 138

Data Science Machine Learning Statistics Reporting 138

Data Science 101

APRIL 12, 2019

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. StreamSets is a top option for data management and integration. 3 1010 Data.

Statistics 110

Statistics Data Science Machine Learning Software 110

KDnuggets

SEPTEMBER 26, 2019

Join the Crunch Data Conference in Budapest, Oct 16-18, with stellar speakers from companies like Facebook, Netflix and LinkedIn. Use the discount code ‘KDNuggets’ to save $100 off your conference ticket.

Statistics 90

Statistics Data Science Data Analytics Analytics 90

Jen Stirrup

SEPTEMBER 19, 2019

360 Orlando and I’m presenting a workshop on From Business Intelligence to Business Analytics with the Microsoft Data Platform. The conference is held on November 17-22, 2019 at the Royal Pacific Resort at Universal Orlando in Florida. Analytics for Marketing – what numbers do they need, why, and what do they say?

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

CIO Business Intelligence

NOVEMBER 29, 2023

Prepping for success By focusing on training and certifying learners in valuable, in-demand skills, Per Scholas aims to be a “pathway to a thriving wage,” says Wayne Wilson, director of business solutions at the nonprofit, who graduated from Per Scholas’ software engineering program in 2019 before going on to work for the organization.

IT 103

IT Software Technology Cost-Benefit 103

Smart Data Collective

MAY 22, 2019

The marketing profession has been influenced by big data more than almost any other field. Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. This is one of the biggest ways big data is changing marketing.

Optimization 78

Optimization Marketing Big Data Machine Learning 78

Smart Data Collective

JUNE 15, 2022

One of the secrets to attracting and retaining customers is to become more data-centric. trillion in 2019? According to many surveys, more than 90% of retail organizations across a wide range of sectors feel location data is crucial to their success. The retail industry is expanding all the time. Enhance the client experience.

Advertising 98

Advertising Cost-Benefit ROI Sales 98

Smart Data Collective

APRIL 11, 2019

Big data is playing a monumental role in economic development in 2019. According to economic analysts, the market size for big data is currently estimated to be $203 billion. Unfortunately, there is a growing shortage of data scientists.

Big Data 76

Big Data Insurance Statistics Technology 76

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

Business Over Broadway

JANUARY 19, 2021

Data professionals prefer analytics tools over business intelligence tools when getting insights from their data. Nearly half of data professionals surveyed in Kaggle’s 2020 Data Science and Machine Learning Survey said they do not use BI tools. Top Tools Used to Analyze Data.

Business Intelligence 85

Business Intelligence Analytics Statistics Machine Learning 85

Smart Data Collective

MARCH 7, 2021

Analytics is playing an increasingly important role in the future of the music industry. A growing number of music companies are discovering new applications for analytics tools, which can streamline many important aspects of their industry. The Past, Present and Future of Analytics in the Music Industry. Download cards?

Analytics 97

Analytics Sales Statistics Big Data 97

Business Over Broadway

JULY 29, 2020

Analysis of usage of 5 primary tools used to analyze data showed that the top tool used by data professionals to analyze data are local development environments (54%), followed by basic statistical software (20%), cloud-based data software and APIs (8%), advanced statistical software (6%) and business intelligence software (6%).

Statistics 92

Statistics Software Business Intelligence Data Science 92

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Why should Chief Data & Analytics Officers care about data security?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Sisense

AUGUST 30, 2021

Another month, another round of stories about why embedding analytics into your offering and internal workflows is the key to evolving your business — no matter what business you’re in. The American football season is right around the corner, and as in every sport, data is playing a bigger and bigger role, on and off the field.

Analytics 52

Analytics Sales Reporting Metrics 52

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Through their data visualization work, they relentlessly exhibit a wide spectrum of capabilities across the creative, editorial, analytical, and technical dimensions”. click for book source**.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. Data science teams should watch what’s happening here, especially the emphasis in the EU. For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. Data governance, for the win! Do those concerns sound familiar? machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Smart Data Collective

OCTOBER 14, 2019

.” Doing this protects the privacy of the people involved by ensuring that a malicious person could not trace a data source back to a single individual or otherwise reveal their identity. In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. Apache Drill.

Data Science 68

Data Science Machine Learning Big Data Interactive 68

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Smarten

NOVEMBER 18, 2022

Choose an Augmented Analytics Solution with Natural Language Processing (NLP) Search Analytics! Research reveals that the global statistical natural language processing (NLP) market size is projected to grow to $3.7 billion USD within the next five years, an annual growth rate of 20%. It’s simple, really!

Analytics 52

Analytics Statistics Data Science Machine Learning 52

Smart Data Collective

JUNE 26, 2019

When many business analysts talk about blind spots in data , dark data comes into the conversation. Dark data is also called “unclassified data,” and it’s information your business has but does not use for analytical purposes or any other reason related to running the business.

ROI 102

ROI Statistics Machine Learning Measurement 102

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

InsightOut

OCTOBER 15, 2021

b' Data analytics once came under the exclusive purview of number-crunching data analysts and esoteric data scientists. The power to access, analyze and present data sets from complex statistical programs lay only within their restricted reach. Technology has changed, and so have the business scenarios.

Dashboards 52

Dashboards Key Performance Indicator Digital Transformation Metrics 52

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?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smart Data Collective

MAY 19, 2021

Big data technology has become a major disrupting factor in the energy industry. Many energy conglomerates have started embracing data analytics to expand their markets, respond to new trends, streamline operations and bolster efficiency. The clean energy sector has not been untouched by the big data revolution.

Data Analytics 89

Data Analytics Analytics Big Data Predictive Analytics 89