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. What Is Data Interpretation? Table of Contents.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

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?

IT 317

IT Statistics KPI Data-driven 317

datapine

MARCH 21, 2023

2) Pros & Cons Of Column Charts 3) When To Use A Column Graph 4) Types Of Column Charts 5) Column Graphs & Charts Best Practices 6) Column Chart Examples Data visualization has been a part of our lives for many many years now. If you are aware of any type of graph then it is probably a column graph.

Visualization 174

Visualization Sales KPI Dashboards 174

Ontotext

DECEMBER 15, 2023

This post describes our approach to developing such a taxonomy by integrating and coreferencing data from numerous sources. by co-occurrence analysis) and repeat We also coreference topics across datasets to leverage links between datasets. Wikipedia categories are used to classify articles, and to form a hierarchy.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

Experimentation 79

Experimentation Modeling Deep Learning Data-driven 79

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . In 2021, the finalists under this category include the following organizations.

Data Lake 107

Data Lake Machine Learning Big Data Data-driven 107

CIO Business Intelligence

JANUARY 19, 2024

And that’s especially true if you’re using manual processes to gather data from your diverse, complex, and often siloed ecosystem to do the planning/forecasting. As a result, doing cleaning, analysis, and manual adjustments is much easier and faster today than it used to be. Such was the case with Danone.

Forecasting 111

Forecasting IT Digital Transformation Machine Learning 111

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 133

Data mining Data-driven Statistics OLAP 133

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. QuickSight lets you perform aggregate calculations on metrics for deeper analysis. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization.

Metrics 103

Metrics Visualization Dashboards Interactive 103

CIO Business Intelligence

MARCH 12, 2024

It can generate human-like prompts, suggest necessary actions, create templates, and provide narratives based on visuals and data,” said Andie Dovgan, chief growth officer at Creatio. “Creatio Copilot acts as a virtual assistant that comprehends natural language, facilitating the completion of tasks efficiently.

IT 97

IT Sales Forecasting Marketing 97

FineReport

SEPTEMBER 2, 2020

Free data visualization tools are professional in different categories: dashboard, chart, maps, network, and so on. Today, let’s review the top free data visualization tools on the market. What are the Benefits of Using Free Data Visualization Tools? Some of the free data visualization tools have their paid version.

Visualization 131

Visualization Interactive Dashboards Reporting 131

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. You should still get the book because it is a fantastic 250-page masterpiece for data scientists!) How does one express “context” in a data model? It’s all here.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

CIO Business Intelligence

OCTOBER 6, 2023

Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders. Business analyst skills The business analyst position requires both hard skills and soft skills.

IT 124

IT Business Analysis Key Performance Indicator Cost-Benefit 124

Jet Global

OCTOBER 26, 2021

These three basic categories of reports translate into an income statement–also known as a profit & loss (P&L)–a balance sheet, and a statement of cash flows. Multi-dimensional analysis makes it easy for a user to view hierarchical summaries of raw data, creating the potential to more easily identify meaningful trends.

Reporting 98

Reporting Slice and Dice OLAP Analytics 98

FineReport

MARCH 7, 2024

In the realm of big data utilization , we often romanticize its profound impact, envisioning scenarios like precision-targeted advertising, streamlined social security management, and the intelligent evolution of the pharmaceutical sector. Try FineReport Now 1. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3).

Data Lake 95

Data Lake Data Warehouse Testing Business Objectives 95

DataKitchen

DECEMBER 6, 2022

The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. As founders, we sat in a room eight years ago (when all the rage was Hadoop, data prep, and data lakes) and debated — will there ever be an ‘ops’ layer that sits next to all the current data tools?

Software 130

Software Marketing Data Lake Testing 130

The Data Visualisation Catalogue

JANUARY 17, 2024

However, Alluvial Diagrams can also be useful for multi-dimensional data analysis, by illustrating shifts in group composition. Alluvial Diagrams can be applied to various types of data to reveal significant changes, making them particularly suitable for tracking trends over time and illustrating patterns of flow in a fixed system.

Snapshot 77

Snapshot IT Visualization 77

CIO Business Intelligence

OCTOBER 14, 2022

Oracle is continuing to lay off people in the US, just months after the company acquired healthcare data specialist firm Cerner for $28.3 Some companies have stopped hiring and started laying off employees,” according to the Janco analysis. billion and announced a first round of layoffs, according to published reports.

Forecasting 110

Forecasting Statistics Data Processing Consulting 110

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 87

Data Quality Measurement Testing Visualization 87

FineReport

MAY 19, 2021

Purchasing analysis is usually represented as dashboards, reports, and data graphs, analyzing the company’s spending on suppliers by category or location. The following example contains the profit and category contribution rate, the sales, and directs for the next stage of the procurement plan. Free Download.

Dashboards 93

Dashboards Metrics Reporting Forecasting 93

Octopai

APRIL 20, 2023

Octopai has recently expanded its offerings by introducing unique and comprehensive DAX (Data Analysis Expressions) coverage support for Power BI, SSRS (SQL Server Reporting Services), and Tabular Analysis Services. This makes it difficult for technical users to provide timely insights to business users.

Sales 78

Sales Data Governance Reporting Optimization 78

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Predict the impact of new policies, laws, and regulations on businesses and markets.

Predictive Analytics 141

Predictive Analytics Analytics Predictive Modeling Forecasting 141

Juice Analytics

DECEMBER 24, 2021

?? Exploratory data analysis is.the "herding cats" ?? stage of working with data. Without exploring and understanding your data, you cannot move on to explaining it to others. ?? Explanatory data presentation is.the "herding cows" ?? stage of working with data. We can call it interactive data storytelling.

Interactive 137

Interactive Measurement Visualization Reporting 137

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Cloudera

JANUARY 7, 2021

Classifying user-generated content allows for more nuanced sentiment analysis. And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. . Very few real-world use cases have categories that are eternally set in stone.

Machine Learning 105

Machine Learning Deep Learning IT 105

CIO Business Intelligence

NOVEMBER 30, 2022

To be truly resilient, an organization must be able to continuously gather data from diverse sources, correlate it, draw accurate conclusions, and in near-real time trigger appropriate actions. Current data monitoring and analysis methods are no longer sufficient.

Enterprise 52

Enterprise Marketing Risk Optimization 52

FineReport

MARCH 6, 2024

This heightened clarity positions financial statements as a focal point for the management team, who place a greater emphasis on their analysis to gain profound insights into the company’s financial well-being. What are Financial Statements Financial statements are written documents prepared regularly based on daily accounting data.

Reporting 52

Reporting Operational Reporting Statistics Dashboards 52

CIO Business Intelligence

JUNE 2, 2022

The report, based on survey responses from tech decision makers in banks and their technology vendors, categorizes 30 different technologies into three main categories: “hot,” “on-the-radar,” and “hype.”. Banking use cases include fraud detection, trading prediction, synthetic data generation and risk factor modelling.

Predictive Analytics 143

Predictive Analytics Technology Analytics Machine Learning 143

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

Cloudera

APRIL 24, 2023

To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment. Categories of CDP Environmental Health We’ve categorized aspects of environmental health for this series. Cloudera Data Platform (CDP) must be configured properly to function well with high performance.

Scorecard 81

Scorecard Data Architecture Dashboards Measurement 81

Smart Data Collective

MAY 29, 2023

The rate of growth at which world economies are growing and developing thanks to new technologies in information data and analysis means that companies are needing to prepare accordingly. As a result of the benefits of business analytics , the demand for Data analysts is growing quickly.

Data Collection 76

Data Collection Big Data Statistics Software 76

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Smart Data Collective

OCTOBER 4, 2021

There is no question that big data is very important for many businesses. Unfortunately, big data is only as useful as it is accurate. Data quality issues can cause serious problems in your big data strategy. Conversational analysis can reveal what matters most to your customers and what influences their decisions most.

Big Data 113

Big Data Data Quality Advertising Interactive 113

AWS Big Data

NOVEMBER 17, 2023

DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools. The scalability and flexible data schema of DynamoDB make it well-suited for a variety of use cases. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 81

Visualization Metadata Testing Internet of Things 81

DataKitchen

JULY 12, 2023

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

Data Quality 130

Data Quality Testing Manufacturing Finance 130

AWS Big Data

JANUARY 27, 2023

You can visualize the PCA insights in the business intelligence (BI) tool Amazon QuickSight for advanced analysis. In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes. Graphs like “Who Talks More?”

Analytics 60

Analytics Reporting Dashboards Visualization 60