Smart Data Collective

SEPTEMBER 29, 2022

Big data has changed the marketing profession in extraordinary ways. billion on marketing analytics software last year. There are many different ways that marketers can leverage data analytics to create successful marketing strategies. In Outlook 2013 and earlier versions, IMAP accounts also used.pst file.

Data-driven 129

Data-driven Marketing Strategy Big Data 129

Smart Data Collective

JUNE 18, 2021

We have previously talked about the role of predictive analytics in helping solve crimes. However, big data has also led to some concerns with racial profiling and other biases. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation.

Predictive Analytics 70

Predictive Analytics Forecasting Analytics Big Data 70

IBM Big Data Hub

JANUARY 10, 2023

After looking at the historical flight delay data from 2003–2018 at a high level, it was determined that the historical data should be separated into two separate time periods: 2003–2012 and 2013–2018. Figure 9 – Flight delays were lower during 2013 through 2018.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 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. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

FEBRUARY 1, 2024

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

Metadata 110

Metadata Modeling Data Processing Unstructured Data 110

Smart Data Collective

JULY 25, 2019

In the early stages of basketball, there was very little use for data and analytics. Sports, in general, were largely anti-data science simply because it didn’t seem like it could apply to a game. Fast forward to the present day, and data science and data analytics are being used in virtually every single sport.

Analytics 73

Analytics Data Science Risk Data Analytics 73

Smart Data Collective

SEPTEMBER 22, 2021

We have talked in the past about using data analytics to choose the best cryptocurrencies to invest in. Dogecoin is an alt-coin to Bitcoin that was launched back on December 6th 2013. Blockchain technology has been instrumental in the development of new forms of commerce.

Risk 119

Risk Marketing Measurement IT 119

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. We also know that many organizations simply do not have the technical ability to use data analytics or machine learning effectively.

Machine Learning 49

Machine Learning Internet of Things Data-driven Cost-Benefit 49

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Jet Global

MAY 1, 2023

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52