David Menninger's Analyst Perspectives

MARCH 1, 2019

We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence.

Analytics 238

Analytics IT Business Intelligence ROI 238

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. Customers use data lake tables to achieve cost effective storage and interoperability with other tools. The sample files are ‘|’ delimited text files.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105

David Menninger's Analyst Perspectives

APRIL 5, 2019

We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence.

Analytics 111

Analytics IT Business Intelligence ROI 111

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 347

Enterprise Deep Learning Data Governance Risk 347

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. A professional dashboard maker enables you to access data on a single screen, easily share results, save time, and increase productivity. That’s why we welcome you to the world of interactive dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

O'Reilly on Data

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. The new category is often called MLOps. Why: Data Makes It Different. Can’t we just fold it into existing DevOps best practices?

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

DECEMBER 11, 2024

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

Management 111

Management Data Governance Data Science Reporting 111

AWS Big Data

DECEMBER 9, 2024

In todays data-driven world, tracking and analyzing changes over time has become essential. As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

datapine

JULY 11, 2019

The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses. Dashboard design should be the cherry on top of your business intelligence (BI) project. Now, it’s time for the fun part.

Dashboards 319

Dashboards Metrics Visualization Key Performance Indicator 319

CIO Business Intelligence

DECEMBER 20, 2024

While NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile on July 26, 2024, most organizations are just beginning to digest and implement its guidance, with the formation of internal AI Councils as a first step in AI governance.So

Risk 105

Risk Measurement Interactive Modeling 105

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. It provides a conversational interface where users can submit queries in natural language within the scope of their current data permissions. Choose Query data.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

CIO Business Intelligence

NOVEMBER 15, 2024

The release goes on to say that DHS identified three primary categories of AI safety and security vulnerabilities in critical infrastructure: “attacks using AI, attacks targeting AI systems, and design and implementation failures. Hopefully, we will see this framework continue to evolve.”

Risk 119

Risk Risk Management Strategy Reporting 119

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. A drill-down into data, AI, and ML topics.

Data-driven 363

Data-driven Software Statistics Marketing 363

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

Rocket-Powered Data Science

JULY 19, 2023

On-prem data sources have the powerful advantage (for design, development, and deployment of enterprise analytics applications) of low-latency data delivery. Low-latency data delivery is a system level requirement that is tied to a critical business user requirement: low-latency analytics product delivery !

Analytics 198

Analytics Data-driven Machine Learning Data Science 198

datapine

SEPTEMBER 4, 2019

Exclusive Bonus Content: Download Data Implementation Tips! A dashboard in business is a tool used to manage all the business information from a single point of access. It helps managers and employees to keep track of the company’s KPIs and utilizes business intelligence to help companies make data-driven decisions.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 304

Testing Machine Learning Consulting Data Science 304

Rocket-Powered Data Science

JULY 6, 2021

In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

CIO Business Intelligence

APRIL 9, 2025

Broadcom and Google Clouds continued commitment to solving our customers most pressing challenges stems from our joint goal to enable every organizations ability to digitally transform through data-powered innovation with the highly secure and cyber-resilient infrastructure, platform, industry solutions and expertise.

IT 99

IT Snapshot Digital Transformation Measurement 99

AWS Big Data

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

CIO Business Intelligence

JANUARY 9, 2025

These required specialized roles and teams to collect domain-specific data, prepare features, label data, retrain and manage the entire lifecycle of a model. Companies can enrich these versatile tools with their own data using the RAG (retrieval-augmented generation) architecture. An LLM can do that too.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

datapine

FEBRUARY 25, 2022

3) The Role Of Data Drilling In Reporting. It is no secret that the business world is becoming more data-driven by the minute. Every day, more and more decision-makers rely on data coming from multiple sources to make informed strategic decisions. In general, data drills can be added to any chart or data visualization.

Reporting 173

Reporting Dashboards Visualization Metrics 173

DataKitchen

AUGUST 16, 2024

2024 Gartner Market Guide To DataOps We at DataKitchen are thrilled to see the publication of the Gartner Market Guide to DataOps, a milestone in the evolution of this critical software category. It handles connector management and workflow impact analysis and maintains audit logs.

Marketing 126

Marketing Data Quality Testing Metadata 126

David Menninger's Analyst Perspectives

OCTOBER 4, 2023

The Ventana Research 2023 Analytics and Data Buyers Guide is the distillation of a year of market and product research by Ventana Research.

Analytics 147

Analytics ROI Marketing Management 147

O'Reilly on Data

JUNE 19, 2019

One sure sign that companies are getting serious about machine learning is the growing popularity of tools designed specifically for managing the ML model development lifecycle, such as MLflow and Comet.ml. Quality depends not just on code, but also on data, tuning, regular updates, and retraining. Source: Ben Lorica.

Modeling 256

Modeling Machine Learning Testing Metrics 256

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That is because graphical representations of data make it easier to convey important information to different audiences. Below we will discuss the graph and chart categories.

Visualization 177

Visualization Dashboards Sales Measurement 177

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Choose Manage model access. Change the AWS Region to US West (Oregon).

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 105

Sales Metadata Enterprise Testing 105

Smart Data Collective

OCTOBER 25, 2022

We talked about the opportunities to use big data for library marketing , but there are other advantages as well. Through radio waves and barcodes, computers and similar can identify objects, thus sort them into categories and put their corresponding data in the library systems. To explain shortly how this works through RFID.

Technology 139

Technology Data-driven Big Data Marketing 139

datapine

SEPTEMBER 1, 2020

Today, there are online data visualization tools that make it easy and fast to build powerful market-centric research dashboards. They come in handy to manage the results, but also the most important aspect of any analysis: the presentation of said results, without which it becomes hard to make accurate, sound decisions.

Reporting 247

Reporting Marketing KPI Dashboards 247

AWS Big Data

MARCH 6, 2025

In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. The Amazon Redshift Data API simplifies access to your Amazon Redshift data warehouse by removing the need to manage database drivers, connections, network configurations, data buffering, and more.

Visualization 102

Visualization Sales Data Warehouse Management 102

DataKitchen

JANUARY 25, 2021

For many data professionals, this situation is all too familiar. Analytics, in the modern enterprise, span toolchains, teams, and data centers. Large enterprises ingest data from dozens or hundreds of internal and external data sources. An error could occur in any of the millions of steps in the data pipeline.

Reporting 243

Reporting Testing Enterprise Analytics 243