O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 332

Management Machine Learning Experimentation Metrics 332

Smart Data Collective

APRIL 14, 2021

Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting. It comes with embedded dashboards privately and publicly. The best part about Tableau is the easy-to-use drag-and-drop user interface that makes it easy to create in-depth analysis and dashboards.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

FineReport

JULY 21, 2021

Enterprise Dashboard ?by Enterprise business intelligence collects these metrics data and displays them in a real-time manner. Based on business data, BI visualizes business problems through graphics and models. Insurance Dashboard(by FineReport). Enterprise reporting vs. Enterprise BI. by FineReport?. Free Download.

Business Intelligence 98

Business Intelligence Enterprise Dashboards Sales 98

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Cost-Benefit 97

Cost-Benefit Visualization Modeling Machine Learning 97

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. We then utilize the dev tools in OpenSearch Dashboards to execute various search patterns.

Dashboards 66

Dashboards Testing Metrics Optimization 66

Cloudera

JULY 24, 2023

data engineering pipelines, machine learning models). In addition to its configuration capabilities, Cloudera Manager is able to visualize metrics for all open source projects and management services used by platform tenants and deliver critical insights to platform administrators that help them with decision making.

Analytics 65

Analytics Testing Metrics Management 65

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. There’s A Wealth Of Choice. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault.

Enterprise 89

Enterprise Data Warehouse Snapshot Cost-Benefit 89

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). That then takes us down the very best way to answer that question, to use the five-step process to build out the Digital Marketing and Measurement Model. and tell you what are the best key performance indicators (metrics) for them.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Occam's Razor

JANUARY 12, 2015

At the core of everything you will do in digital analytics is the concept of metrics. How do you define a metric: It is simply a number. Your digital analytics tools are full of metrics. Helpful post: Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies.]. Now you have your foundation, metrics and KPIs.

Analytics 150

Analytics Slice and Dice KPI Metrics 150

AWS Big Data

MARCH 13, 2024

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. Each service implements k-nearest neighbor (k-NN) or approximate nearest neighbor (ANN) algorithms and distance metrics to calculate similarity. This is where the Retrieval Augmented Generation (RAG) technique comes in.

Data Processing 117

Data Processing Dashboards Machine Learning Management 117

IBM Big Data Hub

MARCH 29, 2024

OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. These APIs play a key role in standardizing the collection of OpenTelemetry metrics. Instrumentation library: OTel provides an instrumentation model that runs on all platforms.

Metrics 82

Metrics Visualization Measurement Optimization 82

AWS Big Data

OCTOBER 11, 2023

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue.

Management 110

Management Metadata Analytics Dashboards 110

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. Doing anything on the web without a Web Analytics Measurement Model. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views.

Marketing 126

Marketing Measurement Metrics Testing 126

datapine

NOVEMBER 13, 2019

It doesn’t matter how innovative your brand is or how groundbreaking your business model might be; if your business is ridden with glaring inefficiencies, your potential for growth is eventually going to get stunted. There are a host of benefits to procurement reporting. c) Increase the efficiency of crucial KPIs.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

DataKitchen

NOVEMBER 29, 2021

Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate. Companies Commit to Remote. Data Observability.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. Remember that digital transformation is about transforming your business and operating models with technology. Below is a list of topics, answers and articles in support of a recent Tweet Chat in which I was the guest.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

DataRobot Blog

FEBRUARY 2, 2023

Large language models, also known as foundation models, have gained significant traction in the field of machine learning. These models are pre-trained on large datasets, which allows them to perform well on a variety of tasks without requiring as much training data. What Are Large Language Models?

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Naveego — A simple, cloud-based platform that allows you to deliver accurate dashboards by taking a bottom-up approach to data quality and exception management.

Testing 300

Testing Machine Learning Consulting Data Quality 300

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Flexible payment options: Businesses don’t have to go through the expense of purchasing software and hardware.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. In the traditional model communication between developers and business users is not a priority.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

MAY 28, 2022

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 145

Insurance Machine Learning Digital Transformation Cost-Benefit 145

AWS Big Data

JUNE 21, 2023

It comprises a search engine, OpenSearch, which delivers low-latency search and aggregations, OpenSearch Dashboards, a visualization and dashboarding tool, and a suite of plugins that provide advanced capabilities like alerting, fine-grained access control, observability, security monitoring, and vector storage and processing.

Metrics 82

Metrics Measurement Modeling Dashboards 82

Jet Global

FEBRUARY 8, 2021

Microsoft Power BI is a popular tool for designing visual dashboards that help everyone in your organization to better understand how the company is performing against key metrics. The newer API-based method calls for that same understanding of the ERP data model, but it also requires specialized programming skills.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory. And it yields multiple business metric improvements, such as limiting surplus inventory.

IT 98

IT Manufacturing IoT Cost-Benefit 98

datapine

APRIL 9, 2019

Moreover, interactive HR dashboard templates offer businesses the means to better understand their personnel, spot emerging problems or issues, and deploy proactive solutions to manage their HR departments in a more fluent, result-driven fashion. If managed strategically, your HR department could enhance your business in a number of ways.

Reporting 155

Reporting Dashboards Metrics Cost-Benefit 155

CIO Business Intelligence

MAY 27, 2022

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 98

Insurance Machine Learning Digital Transformation Cost-Benefit 98

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Occam's Razor

DECEMBER 3, 2008

If you want to have a move your career forward in web analytics (from a Metrics Analyst) here are the four options for you (and yes they all will help you make more money, some more than others): |1| Technical Individual Contributor. SPOC for CMO / CEO dashboards (supreme analysis). Internal Evangelist.

Analytics 115

Analytics Consulting Metrics Reporting 115

CIO Business Intelligence

JANUARY 26, 2023

The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low. Ideally, teams will be able to control their own costs and predict future usage with the reports and dashboards on offer.

Management 116

Management Forecasting Dashboards Optimization 116

Jet Global

NOVEMBER 23, 2020

In this model, your monthly income is split into the following categories: 50 percent for needs, 30 percent for wants, 20 percent for debts and savings. Their podcast, Motley Fool Money, hosted by Chris Hill and a panel of investment analysts, breaks down the stock market implications for investors every Friday.

KPI 52

KPI Finance Dashboards Data Processing 52

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey. The following diagram shows a sample C360 dashboard built on Amazon QuickSight.

Data Strategy 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

CIO Business Intelligence

AUGUST 5, 2022

Today, data visualization encompasses all manners of presenting data visually, from dashboards to reports, statistical graphs, heat maps, plots, infographics, and more. It focuses on business-user deployed dashboards and ease of use, making it a good choice for small businesses seeking to create custom apps. It also has a mobile app.

Visualization 143

Visualization Dashboards Statistics Business Intelligence 143

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. A data fabric has the same model but it adds a set of capabilities that continuously monitor the whole landscape, and continuously update the intelligent part that infers insight as new data is discovered and/or added.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Cloudera

OCTOBER 25, 2022

The most effective model for logical data separation on cloud platforms is to use a unique account for your deployment. Host-based security. Host-based security is another critical and often overlooked security layer in cloud deployments. You can also create metrics to fire alerts when system resources meet specified thresholds.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52