AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. You’re now ready to query the tables using Athena.

Analytics 90

Analytics IoT Metadata Internet of Things 90

Depict Data Studio

MAY 12, 2020

In April, I sat down with Amanda Makulec, one of my longtime data and evaluation friends, to learn about visualizing COVID-19 responsibly. Amanda is the Data Visualization Capability Lead at Excella; a co-organizer for Dataviz DC; and the Operations Director for the Data Visualization Society (DVS).

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

datapine

FEBRUARY 9, 2024

Catchy headlines, backlinks to relevant influencer content, the seamless placement of a numbered or bulleted and visuals are some of the key drivers of successful digital content. Effective business strategies are built around KPIs, so ensure the data is providing exact and specific answers.

KPI 221

KPI Management Key Performance Indicator Measurement 221

IBM Big Data Hub

MARCH 29, 2024

Time-series metrics are a collection of data that is taken at regular intervals such as monthly sales data, or daily application traffic. Clear visibility into this type of data offers insights into patterns, trends and predictions for business planning. Prometheus uses PromQL to aggregate data and metrics.

Metrics 84

Metrics Visualization Measurement Optimization 84

CIO Business Intelligence

JANUARY 20, 2023

But the benefits of BI extend beyond business decision-making, according to data visualization vendor Tableau , including the following: Data-driven business decisions: The ability to drive business decisions with data is the central benefit of BI.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Maps are important data visualizations and at datapine, we love utilizing them in our dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Smart Data Collective

AUGUST 4, 2022

. “Using a software platform for data gathering and analytics is a huge time saver, and the application of verifiable facts and numbers to measure progress minimizes the bias that’s inherent in the old-school method of performance management,” the authors write. They can make some unexpected insights based on data analytics tools.

Data-driven 128

Data-driven Metrics Software Data Collection 128

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 98

IT Manufacturing IoT Cost-Benefit 98

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

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. ML model interpretability and data visualization. training data”) show the tangible outcomes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Data Science 101

NOVEMBER 8, 2023

I’m on the corporate side so I’ve had to become familiar with every data collection, storage, processing, and retrieval method you can imagine… I often work with our DS teams to apply their models to our data for the sake of producing targeted single, multi, and omnichannel campaigns.

Data Science 59

Data Science Visualization Management Data Processing 59

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. There are two types of data warehouses: on-premises and cloud-based.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

Ontotext

MAY 18, 2020

These tools will allow them to effectively and efficiently handle extremely large volumes of disparate data – digitized histopathology slides from the visual and textual content of patient’s records, medical publications, diagnoses, etc. There are four types of data sources that the team will work with.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

CIO Business Intelligence

SEPTEMBER 22, 2023

How to choose which DMP is right for your organization While each organization will have its own unique needs, a number of common factors are important to keep in mind when selecting a data management platform. The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

JUNE 9, 2022

Advertisers use OnAudience to build an understanding of their audience from data collected from multiple sources. It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending. Along the way, metadata is collected, organized, and maintained to help debug and ensure data integrity.

Management 144

Management Advertising Data Lake Sales 144

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Your data warehouse is ready. Tableau, Qlik, Power BI, etc).

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

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.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

datapine

FEBRUARY 22, 2022

Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Ensure data literacy. click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

IBM Big Data Hub

MARCH 20, 2024

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

Internet of Things 100

Internet of Things Cost-Benefit Data Processing IoT 100

Cloudera

NOVEMBER 22, 2021

Explosion of data availability from a variety of sources, including on-premises data stores used by enterprise data warehousing / data lake platforms, data on cloud object stores typically produced by heterogenous, cloud-only processing technologies, or data produced by SaaS applications that have now evolved into distinct platform ecosystems (e.g.,

Data Processing 88

Data Processing Data Warehouse Enterprise Visualization 88

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. In this way, data governance is the business or process side. Attendance was high, as were the number of excellent questions.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Andrew White

MARCH 31, 2023

A workshop that helps diagnostically map specific data to specific business outcomes. I hosted 25 1-1s in between the meetings and presentations. ” After a short, puzzled look, I added, “Is there a way to visualize the decision itself, and how the various elements of the analytics pipeline inform how to improve it?

Analytics 40

Analytics Marketing Visualization Data-driven 40

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52