AWS Big Data

DECEMBER 5, 2024

Enterprises that need to share and access large amounts of data across multiple domains and services need to build a cloud infrastructure that scales as need changes. To achieve this, the different technical products within the company regularly need to move data across domains and services efficiently and reliably.

Metrics 97

Metrics Dashboards Testing Optimization 97

datapine

AUGUST 19, 2020

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. Collecting big amounts of data is not the only thing to do; knowing how to process, analyze, and visualize the insights you gain from it is key.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

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. Each processor applies a type of data transform such as encoding text into vector embeddings, or summarizing search results with a chatbot AI service.

Machine Learning 83

Machine Learning Visualization Dashboards Metadata 83

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

BizAcuity

MARCH 25, 2019

Revenue Analytics in Event Industry – An Overview. The plethora of changes in the Event Industry witnessed during the last decade point to the fulfillment of a continuous quest for customer service excellence. Without this information, revenue analytics are worthless. The revenue analytics market size estimated to grow from $9.27

Analytics 74

Analytics Dashboards Sales Marketing 74

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. Dashboards and analytics have been around for a long, long time. Business people want more data than ever. But recently, there has been a surge in demand. What typically goes wrong?

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

datapine

MARCH 11, 2020

As digital transformation evolves, and more businesses begin to harness the power of digital technologies, the rate at which we are creating data is rising by the second. As such, we have to find approaches to data analytics and business intelligence. It’s the art of using live dashboards to respond to data promptly.

Business Intelligence 165

Business Intelligence Analytics Dashboards Visualization 165

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

IBM Big Data Hub

OCTOBER 17, 2023

” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence. They are being increasingly challenged to improve efficiency and cost savings, embrace automation, and engage in data-driven decision making that helps their organization stand out from the competition.

Data-driven 77

Data-driven Cost-Benefit Uncertainty Dashboards 77

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. ERP dashboards.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 134

Analytics IoT Data-driven Snapshot 134

AWS Big Data

FEBRUARY 12, 2024

Public health organizations need access to data insights that they can quickly act upon, especially in times of health emergencies, when data needs to be updated multiple times daily. Instead, they rely on up-to-date dashboards that help them visualize data insights to make informed decisions quickly.

Publishing 111

Publishing Dashboards Metadata Visualization 111

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 115

IoT Analytics Dashboards Data-driven 115

AWS Big Data

NOVEMBER 22, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that you can use to analyze your data at scale. Redshift Data API provides a secure HTTP endpoint and integration with AWS SDKs. Calls to the Data API are asynchronous.

Data Warehouse 105

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 105

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 131

Management Metadata Analytics Dashboards 131

AWS Big Data

JUNE 12, 2024

In today’s data-driven world, organizations are continually confronted with the task of managing extensive volumes of data securely and efficiently. A common use case that we see amongst customers is to search and visualize data. A common use case that we see amongst customers is to search and visualize data.

Dashboards 122

Dashboards Visualization Sales IoT 122

datapine

JUNE 15, 2023

In the past, these reports were used after a month or even a year since the data being displayed was generated. To help you get started with the topic, we put together this insightful guide on modern performance reporting using professional online dashboards. Being data-driven is no longer a choice or a competitive advantage.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

IBM Big Data Hub

JANUARY 8, 2024

In modern enterprises, where operations leave a massive digital footprint, business events allow companies to become more adaptable and able to recognize and respond to opportunities or threats as they occur. Teams want more visibility and access to events so they can reuse and innovate on the work of others.

Data-driven 73

Data-driven Advertising Management Enterprise 73

Smart Data Collective

MARCH 4, 2022

Two of the biggest advances in technology that are influencing the direction of business are social media and data analytics. Smart businesses will need to know how to leverage data analytics to make the most of their social media strategies. Data Analytics and Social Media Are Collectively Shaping the Future of Business.

Data Analytics 145

Data Analytics Analytics Data Processing Recreation/Entertainment 145

Birst BI

JANUARY 16, 2018

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Some data discovery vendors tout that they already deliver “self-service to the masses,” but that’s a dubious claim. Machine learning will transform BI and analytics.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

SEPTEMBER 11, 2024

Oracle has announced the launch of Oracle Fusion Cloud Sustainability — an app that integrates data from Oracle Fusion Cloud ERP and Oracle Fusion Cloud SCM , enabling analysis and reporting within Oracle Fusion Cloud Enterprise Performance Management (EPM) and Oracle Fusion Data Intelligence.

Contextual Data 116

Contextual Data Key Performance Indicator Dashboards Data-driven 116

AWS Big Data

OCTOBER 9, 2024

We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This included web applications, Apache HBase data stores, Apache Solr search clusters, and Apache Hadoop clusters. Core nodes were also misconfigured to auto scale.

Optimization 128

Optimization Testing Data-driven Strategy 128

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. Why do risk and opportunity events matter?

Data-driven 59

Data-driven Risk Modeling Risk Management 59

O'Reilly on Data

OCTOBER 11, 2022

Some tasks should not be automated; some tasks could be automated, but the company has insufficient data to do a good job; some tasks can be automated easily, but would benefit from being redesigned first. Some of these data sources will be owned by the pharmacy; others aren’t. Most are subject to privacy regulations.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

CIO Business Intelligence

FEBRUARY 3, 2023

Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. These systems can manage the various APIs and services while also helping the data flow with extra bots.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

MARCH 22, 2019

Today’s tech-savvy customers are driven by experiences. Businesses need analytics-driven insights focused on their team’s performance as well as customer happiness levels to determine the strengths and weaknesses that affect their overall business objectives. Analyze gathered data: This step should be clear.

Metrics 134

Metrics Dashboards Measurement Interactive 134

CIO Business Intelligence

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

IBM Big Data Hub

NOVEMBER 2, 2022

Organizations are managing and analyzing large datasets every day, but many still need the right tools to generate data-driven insights. Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

Dashboards 98

Dashboards Statistics Data Collection Business Intelligence 98

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier.

Analytics 119

Analytics Data Warehouse Snapshot Cost-Benefit 119

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

DataKitchen

OCTOBER 25, 2022

Part 2: Introducing Data Journeys. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Testing 130

Testing Data-driven Visualization Dashboards 130