AWS Big Data

OCTOBER 17, 2024

Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. AWS has made the decision to discontinue Kinesis Data Analytics for SQL, effective January 27, 2026.

Data Analytics 136

Data Analytics Management Analytics Recreation/Entertainment 136

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Visualization 111

Visualization Machine Learning Dashboards Data Warehouse 111

Smart Data Collective

DECEMBER 13, 2022

Data analytics and visualization help with many such use cases. Here is where data analytics and visualization come into play. While most people are unfamiliar with these terms, investing in data analytics and visualization can mean the difference between success and failure. How can dashboards help them overcome obstacles?

Visualization 145

Visualization Key Performance Indicator Sales Advertising 145

Cloudera

NOVEMBER 17, 2021

Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.), We are very excited to announce the release of five, yes FIVE new AMPs, now available in Cloudera Machine Learning (CML). AutoML with TPOT.

Machine Learning 124

Machine Learning Visualization Data Science Dashboards 124

David Menninger's Analyst Perspectives

MAY 20, 2025

Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Domo was founded in 2010 by chief executive officer Josh James, previously founder and CEO of web analytics provider Omniture.

Metrics 130

Metrics Data Governance Unstructured Data Data-driven 130

Analytics Vidhya

AUGUST 31, 2022

You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine […]. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale.

Data Lake 271

Data Lake Unstructured Data Big Data Dashboards 271

AWS Big Data

MAY 2, 2025

Through a visual designer, you can configure custom AI search flowsa series of AI-driven data enrichments performed during ingestion and search. You can use the flow builder through APIs or a visual designer. The visual designer is recommended for helping you manage workflow projects.

Machine Learning 92

Machine Learning Visualization Dashboards Metadata 92

datapine

JANUARY 21, 2020

One additional element to consider is visualizing data. Since humans process visual information 60.000 times faster than text , the workflow can be significantly increased by utilizing smart intelligence in the form of interactive, and real-time visual data. Implementation in any industry or department. click to enlarge**.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

AWS Big Data

MARCH 6, 2025

In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. For instance, a global sports gear company selling products across multiple regions needs to visualize its sales data, which includes country-level details. A Python virtual environment.

Visualization 103

Visualization Sales Data Warehouse Management 103

Sisense

JANUARY 6, 2021

What are white-labeled reports White-label reports: Under the hood Exploring white-label dashboards Use case snapshots Horsepower under the hood. The ability to add best-in-class dashboards to your app but brand them as your own gives your app a new pathway to success without expending serious dev time. What are white-labeled reports?

Dashboards 119

Dashboards Reporting Snapshot Visualization 119

CIO Business Intelligence

FEBRUARY 6, 2025

Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. Even basic predictive modeling can be done with lightweight machine learning in Python or R.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

DataRobot Blog

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Science 300

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. provides the user with visualizations, code editor, and debugging. Let’s get started. Exclusive Bonus Content: Download Our Free Data & Science Checklist! Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

JANUARY 6, 2022

6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data. Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. 2) How To Interpret Data?

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

JANUARY 9, 2025

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

Sisense

JUNE 30, 2020

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. Data visualization and visual analytics are two terms that come up a lot when new and experienced analytics users alike delve into the world of data in their quest to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

datapine

NOVEMBER 11, 2021

c) Dashboard Features. Business intelligence tools provide you with interactive BI dashboards that serve as powerful communication tools to keep teams engaged and connected. Essentially, the drag and drop feature enables you, or anyone in your organization, to query and visualize data without writing a single line of SQL code.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

datapine

MARCH 25, 2019

Neural networks: A neural network is a form of machine learning which is far too comprehensive to summarize – but this explanation will help paint you a fairly comprehensive picture. Arguably, the best way to make your data analysis concepts accessible across the organization is through data visualization.

Key Performance Indicator 217

Key Performance Indicator Statistics Big Data Visualization 217

datapine

MARCH 25, 2022

While using a business dashboard, all your information can be simplified into a single place, making the time for meaningful decisions much faster. It relies on mathematical models, machine learning, and artificial intelligence technologies to make accurate predictions which makes them harder to use for an average user with no prior skills.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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

O'Reilly on Data

JANUARY 17, 2023

” If none of your models performed well, that tells you that your dataset–your choice of raw data, feature selection, and feature engineering–is not amenable to machine learning. All of this leads us to automated machine learning, or autoML. Perhaps you need a different raw dataset from which to start.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Reporting – data warehousing & dashboarding. Predictive Analytics – AI & machine learning.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. A central measure here is the definition and visualization of control and monitoring key figures.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. That enables the analytics team using Power BI to create a single visualization for the GM.”

Data Transformation 127

Data Transformation Machine Learning Data Lake Dashboards 127

CIO Business Intelligence

SEPTEMBER 6, 2024

The complexity of handling data—from writing intricate SQL queries to developing machine learning models—can be overwhelming and time-consuming. The AI Chatbot: Enhancing Data Interaction Business Intelligence (BI) dashboards are invaluable for visualizing data, but they often offer only a surface-level view of trends and patterns.

Machine Learning 125

Machine Learning IT Dashboards Data-driven 125

datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. For example, you could be the one to extract actionable insights from specific retail KPIs that need to be visualized and presented during a meeting. BI developer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. Power BI’s rich reports or dashboards can be embedded into reporting portals you already use.

Slice and Dice 127

Slice and Dice Scorecard Metrics Visualization 127

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. You can watch the webinar here (registration required) to learn how to conduct FP&A storytelling in order to enhance fact-based decision making. First, because uncertainty exploded.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

AWS Big Data

MARCH 13, 2025

Amazon SageMaker brings together widely adopted AWS machine learning (ML) and analytics capabilities and addresses the challenges of harnessing organizational data for analytics and AI through unified access to tools and data with governance built in.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

Smarten

MAY 8, 2024

Smart Data Visualization and Personalized Dashboards Improve Data Insight and Team Collaboration! Visual Analytics tools enable users to identify relationships, patterns, trends and opportunities and to explore detailed data with simple drill down and drill through capabilities and make sense of data from all sources.’

Visualization 67

Visualization Dashboards Machine Learning Business Intelligence 67

Cloudera

MAY 25, 2021

Since the release of Cloudera Data Visualization (DV) back in Oct 2020 , our primary mission has been to expand access to data analytics and predictive insights across enterprise businesses. Figure 1: Example menu-driven application within Cloudera Data Visualization, left panel menu allows navigation across multiple dashboards.

Visualization 71

Visualization Machine Learning Dashboards Data-driven 71

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

datapine

DECEMBER 11, 2019

Within business scenarios, artificial intelligence (as well as machine learning, in many cases) provides an advanced degree of responsiveness and interaction between businesses, customers, and technology, driving AI-based SaaS trends 2020 onto a new level. How will AI improve SaaS in 2020? 2) Vertical SaaS.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

NOVEMBER 14, 2022

ERP dashboards. Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. Dashboards and other user interfaces that allow users to interact with and view results.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135