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 94

Advertising ROI Sales Cost-Benefit 94

Smart Data Collective

JULY 24, 2019

At Smart Data Collective, we often emphasize the biggest trends in the field of big data. We have talked extensively about the application of big data in everything from large-scale marketing to criminal justice reform. Big Data Offers New Scheduling Solutions. Automation. Accountability.

Data Science 75

Data Science Big Data Software Data-driven 75

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 4 – Initial analysis on current flight delay data.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Smart Data Collective

MAY 27, 2021

With online data acquisition on the rise, we are treading into mostly uncharted waters. Industry-wide regulations in web scraping and other forms of automated data collection are practically non-existent and we probably shouldn’t expect any in the near future. Personal information in the US. What about the US?

Data Strategy 129

Data Strategy Strategy Data Collection Big Data 129

Sisense

JUNE 9, 2021

Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The data collected by these devices is used to design personalized training plans. These developments have added a whole new dimension to data analysis.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Having more data is generally better; however, there are subtle nuances. That seems much more robust.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. To learn more about Cloudera DataFlow, attend our upcoming webinar on Feb 13th, 2019.

IoT 74

IoT Prescriptive Analytics Digital Transformation Internet of Things 74

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Some people pay attention to functions and interaction effects, such as data collection, image and video collection, positioning, linkage and drilling on the mobile devices.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

FEBRUARY 4, 2019

This edition of the conference will be held May 23–24, 2019 in NYC, where we’ll focus on data science as a team sport: leadership , practices , how teams work. For example, one of the questions which has provided a guide throughout our planning stages is: “ What can data science teams learn from each other? ethics in AI.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. AI CA 2019 highlights.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

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