Analytics Vidhya

OCTOBER 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data is the most crucial aspect contributing to the business’s success. Organizations are collecting data at an alarming pace to analyze and derive insights for business enhancements.

Optimization 361

Optimization Data Collection Data Science Publishing 361

Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential.

Machine Learning 390

Machine Learning Data Science Data Collection Testing 390

Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Organizations are turning to cloud-based technology for efficient data collecting, reporting, and analysis in today’s fast-changing business environment. Data and analytics have become critical for firms to remain competitive.

Data Warehouse 380

Data Warehouse Dashboards Data Collection Data Science 380

Analytics Vidhya

JUNE 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Data Warehousing In today’s fast-moving business environment, organizations are turning to cloud-based technologies for simple data collection, reporting, and analysis.

Business Intelligence 342

Business Intelligence Data Collection Data Science Publishing 342

Analytics Vidhya

JULY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction The volume of data collected worldwide has drastically increased over the past decade. Nowadays, data is continuously generated if we open an app, perform a Google search, or simply move from place to place with our mobile devices.

Data Collection 323

Data Collection Data Science Publishing Analytics 323

Analytics Vidhya

NOVEMBER 6, 2021

This article was published as a part of the Data Science Blogathon. Microsoft Power BI Concepts Data sources in Microsoft Power BI Import Excel Data to Microsoft Power BI Query Editor Inbuilt visuals Conclusion Introduction There is so much data collected in businesses and industries today. […].

Visualization 357

Visualization Data Collection Data Science Publishing 357

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction With technological evolution, data dependence is increasing much faster. Organizations are now employing data-driven approaches all over the world. One of the most widely used data applications […].

Predictive Analytics 284

Predictive Analytics Analytics Data-driven Data Science 284

Jet Global

AUGUST 4, 2023

Publish to the organization for data collections with ease. Any data from Power XL can be shared with all other Custom Visuals. With Power XL, Business Analysts can now utilize the efficacy of Excel directly inside Power BI. Develop new models in a familiar environment.

Data Collection 52

Data Collection Visualization Publishing Modeling 52

CIO Business Intelligence

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

Data Governance 118

Data Governance Data Quality Data Collection Management 118

Andrew White

MAY 7, 2020

Her new note, Data Ethics and COVID-19: Making the Right Decisions for Data Collection, Use and Sharing , was published two weeks ago but last week moved up to top spot: Our most read D&A research (excluding branded notes like Magic Quadrants) for the week.

Analytics 52

Analytics Data Collection Interactive Publishing 52

Smart Data Collective

NOVEMBER 24, 2020

The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. BI software will gauge internal data on performance, sales and marketing, social media and other sources to build actionable recommendations for your business.

Business Intelligence 129

Business Intelligence Visualization Dashboards Prescriptive Analytics 129

Smart Data Collective

JULY 9, 2023

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

Optimization 71

Optimization Data Analytics Analytics Data-driven 71

FineReport

AUGUST 19, 2020

Besides, reporting solutions support managers put together a picture of the relevant data and discover business insides. For most companies, the staffs spend 50% time on data collection, 30% time on checking and approving the data, 15% time on developing and publishing the reports, and 5% on business analysis.

Reporting 98

Reporting Dashboards KPI Data Collection 98

Anmut

OCTOBER 29, 2020

COVID-19 exposes shortcomings in data management. Getting consistency is also a daunting challenge in the face of a tsunami of data. Having a data-driven approach creates much sought after competitive advantage. To get consistent and reliable data, this is the kind of standardisation we need.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

Ontotext

FEBRUARY 12, 2024

How to Adopt Embarking on a data mesh journey is a significant undertaking that requires careful planning and consideration of culture, processes, technology, and governance. Ensure a successful implementation by simplifying the access, use, and publishing of data products.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

CIO Business Intelligence

OCTOBER 4, 2022

As Warren Jenson, LiveRamp President, said, failing to do this first can be counter-intuitive to the company’s data goals. In collaboration with the CMO, the CIO can bring their company’s own data in connection to a media partner for better targeting and measurement. Publishing and the TV industries have rich and valuable data sets.

Cost-Benefit 105

Cost-Benefit Strategy Digital Transformation ROI 105

Rocket-Powered Data Science

AUGUST 1, 2018

As Dez Blanchfield once said , “You don’t need a data scientist to tell you big data is valuable. ” A series of articles that drive home the all-important value of data is being published on the DataMakesPossible.com site. The site’s domain name says it all: Data Makes Possible!

Big Data 104

Big Data Machine Learning Data-driven Data Science 104

Cloudera

FEBRUARY 21, 2023

The one requirement that we do have is that after the data transformation is completed, it needs to emit JSON. data transformations can be defined using the Kafka Table Wizard.

Data Transformation 109

Data Transformation Data Processing Data Collection Publishing 109

Depict Data Studio

JUNE 15, 2021

The interpretation meeting becomes a data collection event ; we quote the meeting attendees and include that qualitative data in the final report. Veena and I published an article about placemats together that you read can here: [link]. Have you used data placemats in your project? Learn More.

Reporting 52

Reporting Data Collection Software Publishing 52

Smart Data Collective

MARCH 23, 2022

It continuously monitors content published on social media platforms, on the web, on a specific product, and more. The analysis mainly focused on promotional campaigns that can significantly benefit from data collected from polls, surveys, and social media analysis.

Data mining 118

Data mining Marketing Insurance Data Collection 118

Data Science and Beyond

APRIL 5, 2021

Well, no one has compiled a meta-post of my public work from 2020 (that I know of), so it’s finally time to publish it myself. I previously posted about my experiences with RLS offline data collection and visualisation of the collected data , and have since helped with quite a few RLS surveys. Remote work.

Experimentation 61

Experimentation Testing Publishing Measurement 61

Ontotext

FEBRUARY 14, 2024

It is a demonstrator designed to showcase a field in which Ontotext has built a number of solutions applying semantic technology to enhance publishing content and editorial workflows. This makes it an effective and cost-efficient system for extracting entities from large-scale data collections.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

FineReport

AUGUST 14, 2020

Based on the process from data to knowledge, a standard reporting system’s functional architecture is shown below. It is composed of three functional parts: the underlying data, data analysis, and data presentation.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Smart Data Collective

NOVEMBER 2, 2022

Better case studies will be based off of data collected from previous customers. The data will make it easier to create quality projections. If you find case studies that look interesting, it’s important to take some time to read them through before making any decisions.

Marketing 134

Marketing Big Data Data-driven Sales 134

Smart Data Collective

SEPTEMBER 9, 2020

Analysis of medical data collected from different groups and demographics allows researchers to understand patterns and connexions in diseases and identify factors that increase the efficacy of certain treatments. The post 5 Ways AI Technology Is Changing The Future Of Human Society appeared first on SmartData Collective.

Technology 108

Technology Data mining Insurance Machine Learning 108

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. billion in 2022, according to a research study published by The Insight Partners in August 2022. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

APRIL 10, 2023

lacks a comprehensive privacy law governing personal data collection, use, and sale. Existing federal consumer protection laws may not apply to newer uses of consumer data. We have to be more diligent about protecting our own data, because we don’t have much recourse otherwise. What does this mean for consumers?

Reporting 93

Reporting Risk Sales Data Collection 93

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 338

Management Machine Learning Experimentation Metrics 338

AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). This solution uses distance-based filtering to reduce costs and jitter.

Analytics 93

Analytics IoT Metadata Internet of Things 93

Alation

JUNE 16, 2021

Alation … [offers a] dedicated data catalog… while others include this functionality as a part of a broader (e.g., Wisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. business intelligence) solution.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

Ontotext

NOVEMBER 16, 2023

In a data mesh, domains are represented by a node, which can be an operational data store (ODS), a data warehouse, or a data lake tailored to the domain’s requirements. Mesh emerges when teams use other domains’ data products and the domains communicate with others in a governed manner.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

O'Reilly on Data

JUNE 18, 2019

Machine learning applications rely on three main components: models, data, and compute. A lot of articles are written about new breakthrough models, many of which are created by researchers who publish not only papers, but code written in popular open source libraries. Alex Ratner on “Creating large training data sets quickly”.

Machine Learning 263

Machine Learning Data Quality Statistics Modeling 263

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

FineReport

APRIL 9, 2021

However, companies operation generates numerous and complicated data every day, beyond traditional manual reporting capacity. The listed companies always publish their annual reports. Data Collection and Report Drawing. The collection and collation of raw data is the basis of financial management.

Reporting 98

Reporting Finance Dashboards Enterprise 98

Alation

JANUARY 26, 2023

Below are some examples of common data governance goals: All data collection, storage, and usage must meet the terms of legislation. Avoid fines that could result from issues such as data leakage or lack of data minimization practices. This is “table stakes” for any data governance program!).

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Andrew White

MARCH 23, 2020

The documentary on Amazon Prime is was called The Battle of Hood and Bismarck: The Sinking of History’s Greatest Warships and it was published in 2013. Central planning not deducing their conclusions but sharing the data directly with the local commanders. More analysis of the same data finding an alternative conclusion.

Analytics 40

Analytics Data Collection Publishing IT 40