O'Reilly on Data

MARCH 31, 2020

At measurement-obsessed companies, every part of their product experience is quantified and adjusted to optimize user experience. These companies eventually moved beyond using data to inform product design decisions. That foundation means that you have already shifted the culture and data infrastructure of your company.

Management 332

Management Machine Learning Experimentation Metrics 332

Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

Analytics 79

Analytics Machine Learning Unstructured Data Digital Transformation 79

Occam's Razor

APRIL 15, 2019

If you are in the data business – my bread, butter and tofu – you often carry the burden of being the bearer of bad news. During 2019, our Net Promotion Score has dropped 15 points. Sadly still, negative data to the person/team receiving it. In 2019, we can measure the crap out of so much. Why be hurtin’?

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Ontotext

APRIL 4, 2019

On March 19, 2019, Economy.bg This is a knowledge that anyone can get, but it would take much longer than optimal. This is extremely powerful, so literacy in data collection and data processing will be one of the crucial skills of the future. Source: Economy.bg. How to prepare for a future without employment?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

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

Sisense

JUNE 9, 2021

In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds.

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. data collection”) show the “process” steps that a team performs, while the boxes (e.g.,

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

AUGUST 4, 2021

Data governance used to be considered a “nice to have” function within an enterprise, but it didn’t receive serious attention until the sheer volume of business and personal data started taking off with the introduction of smartphones in the mid-2000s. This is essential to delivering data-driven insights.

Data Governance 85

Data Governance Metadata Data-driven Enterprise 85

FineReport

FEBRUARY 5, 2020

To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. 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

Alation

FEBRUARY 8, 2022

In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data. Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Jet Global

MARCH 13, 2019

Early ‘mobile’ implementations of BI software were poorly executed, essentially porting desktop versions of software to mobile screens, with less-than-optimal results. The post Business Intelligence Trends in 2019 appeared first on Jet Global. Find the Best BI Software for Your Business. Download Now.

Business Intelligence 85

Business Intelligence Software Data Science Enterprise 85

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