Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Where to Use Data Mining? Statistics, mathematics, linear algebra.

Data mining 142

Data mining Data Science Informatics Statistics 142

Business Over Broadway

JANUARY 19, 2021

Nearly half of data professionals surveyed in Kaggle’s 2020 Data Science and Machine Learning Survey said they do not use BI tools. The top tool used by data professionals to analyze data are local development environments (48%), followed by basic statistical software (30%). Top Tools Used to Analyze Data.

Business Intelligence 85

Business Intelligence Analytics Statistics Machine Learning 85

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 89

Statistics Data Science Data Analytics Analytics 89

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

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

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%.

Analytics 52

Analytics Statistics Data Science Machine Learning 52

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 99

IT Software Technology Cost-Benefit 99

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

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

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.

Advertising 96

Advertising Cost-Benefit ROI Sales 96

datapine

DECEMBER 4, 2019

Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company. The commercial use of predictive analytics is a relatively new thing. Mobile Analytics. Augmented Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

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. Prescriptive analytics goes a step further into the future.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. Power BI and Marketing Data. What kind of applicable analytics will we cover?

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

Smart Data Collective

SEPTEMBER 13, 2021

The benefits of training are some of the most important benefits of construction analytics for companies trying to avoid the costs of disastrous construction mistakes. According to 2019 statistics, the average cost of a construction dispute was close to $19 million, and the length of seeing such a dispute to resolution was nearly 18 months.

Analytics 94

Analytics Cost-Benefit Big Data Analytics Technologies 94

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. What are you most looking forward to about CDAOI Insurance 2019?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Sisense

AUGUST 30, 2021

Ballew is planning to infuse analytics into the NFL’s internal workflows to track metrics like injury rates, new ticketing models, game scheduling, and sponsorship packages based on fan activity. It’s a sign of our commitment to data analytics and our view that’s essential in a digital world,” the NFL said regarding hiring Ballew.

Analytics 52

Analytics Sales Reporting Metrics 52

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

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. O’Reilly Strata Data & AI Conference.

Management 332

Management Machine Learning Experimentation Metrics 332

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

MARCH 7, 2021

Data like who these people are and what makes them happy and what makes them buy something. These data metrics can then be interpreted by music professionals and even by you. These data and statistics are all generated because of consumers and it is then utilized to form patterns and see trends. Download cards?

Analytics 96

Analytics Sales Statistics Big Data 96

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

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.

Data Science 67

Data Science Machine Learning Big Data Interactive 67

Jet Global

MAY 1, 2023

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smart Data Collective

JUNE 26, 2019

Get Rid of Blind Spots in Statistical Models With Machine Learning. Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable.

ROI 101

ROI Statistics Machine Learning Measurement 101

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