Smart Data Collective

DECEMBER 13, 2022

Big data analytics is finding applications in eLearning. By analyzing big data, Edutech businesses discover interesting ways to revolutionize learning as we know it. Year after year, the volume of data in eLearning (and the need to analyze it) increases. In 2017, 77% of U.S. In 2017, 77% of U.S.

Big Data 122

Big Data Data Analytics Analytics Statistics 122

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. Using algorithms, AI is now able to store data before making a prediction about something – such as when a debtor is likely to pay. And this data is crucial in taking the necessary steps to ensure successful debt collection. Out of which, $400 billion is delinquent for more than 90 days.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

Smart Data Collective

FEBRUARY 17, 2021

Big data has had a tremendous affect on the healthcare sector. In 2017, the global market for healthcare analytics was valued at $16.9 While there are a number of benefits of using data analytics in healthcare, there are also going to be some challenges. By the year 2025, that figure is projected to grow to $67.82

Big Data 71

Big Data Software Marketing Snapshot 71

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. They use data infrastructure at work. Wes McKinney (2017). Aurélien Géron (2017).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Smarten

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. Users can control the data elements, the volume and the timing of the analysis and reporting.

Analytics 51

Analytics IT Business Intelligence Testing 51

Domino Data Lab

AUGUST 8, 2019

Plus, we’re seeing how these issues surface in regulated environments, which have increasingly become target use cases for the popular open source projects used for data analytics infrastructure: Spark, Jupyter, Kafka, etc. Data governance, for the win! Public Health Reports (2017-07-10). machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

NOVEMBER 27, 2019

Data exploded and became big. 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.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361