David Menninger's Analyst Perspectives

DECEMBER 31, 2024

NLP also enables companies to analyze customer feedback and sentiment, leading to more informed strategic decisions. This ability facilitates breaking down silos between departments and fosters a collaborative approach to data use.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Telm.ai — Telm.ai

Testing 300

Testing Machine Learning Consulting Data Science 300

AWS Big Data

JANUARY 6, 2025

Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions. In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

AWS Big Data

NOVEMBER 29, 2024

By using the AWS Glue OData connector for SAP, you can work seamlessly with your data on AWS Glue and Apache Spark in a distributed fashion for efficient processing. AWS Glue OData connector for SAP uses the SAP ODP framework and OData protocol for data extraction. For more information see AWS Glue.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

Data Virtualization

APRIL 24, 2025

The post Financial Services Data Management Made Easy with GenAI and Denodo Platform on AWS appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. However, many organizations face a significant hurdle: the presence of legacy.

Management 52

Management Digital Transformation Data Integration Data Lake 52

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes.

Data Analytics 119

Data Analytics Analytics Data Warehouse Data Lake 119

Data Virtualization

NOVEMBER 15, 2022

The post Is Cloud Data Integration the Secret to Alleviating Data Connectivity Woes? appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Data Science Data Analytics 52

bridgei2i

APRIL 28, 2020

A three-time recipient of Gartner’s Annual Thought Leadership award, he’s the originator of the field of Infonomics, which is about evaluating and accounting for data or information as an asset. He’s also the man who coined 3Vs- volume, velocity, and variety now commonly used in defining big data. Doug Laney.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps. Query> Write an essay on DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

AWS Big Data

DECEMBER 17, 2024

Lakehouse allows you to use preferred analytics engines and AI models of your choice with consistent governance across all your data. At re:Invent 2024, we unveiled the next generation of Amazon SageMaker , a unified platform for data, analytics, and AI. Industry-leading price-performance: Amazon Redshift launches RA3.large

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

Smart Data Collective

OCTOBER 13, 2021

If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

NOVEMBER 11, 2024

For more information, see Unleash the power of Snapshot Management to take automated snapshots using Amazon OpenSearch Service. About the Authors Samir Patel is a Senior Data Architect at Amazon Web Services, where he specializes in OpenSearch, data analytics, and cutting-edge generative AI technologies.

Snapshot 111

Snapshot Strategy Dashboards Data Lake 111

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

Data Virtualization

JANUARY 19, 2023

Unfortunately, with data spread. The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

AWS Big Data

OCTOBER 11, 2024

It covers the essential steps for taking snapshots of your data, implementing safe transfer across different AWS Regions and accounts, and restoring them in a new domain. This guide is designed to help you maintain data integrity and continuity while navigating complex multi-Region and multi-account environments in OpenSearch Service.

Snapshot 111

Snapshot Dashboards Management Testing 111

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. For more information on how to connect to a database, refer to tDBConnection.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 116

Metadata Dashboards Metrics Visualization 116

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. It may be tempting to place the Chief Information Officer (CIO) or Chief Technical Officer (CTO).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Smart Data Collective

APRIL 20, 2020

According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry. Large quantities of information are gathered from various sources within an organization. The value of data has become a primary focus for companies seeking an easy way to compromise.

Forecasting 126

Forecasting Uncertainty Big Data Marketing 126

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. What is ETL?

Data Quality 105

Data Quality Data Warehouse Data-driven Reporting 105

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. Sounds pretty simple, right?

Key Performance Indicator 122

Key Performance Indicator Business Intelligence Data-driven OLAP 122

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. Have I Checked The Raw Data And The Integrated Data?

Metrics 124

Metrics Testing Data Quality Dashboards 124

AWS Big Data

MAY 30, 2023

For Access to endpoint database , choose Provide access information manually. About the authors Manish Kola is a Data Lab Solutions Architect at AWS, where he works closely with customers across various industries to architect cloud-native solutions for their data analytics and AI needs. rds.amazonaws.com ).

Data Lake 98

Data Lake Data Analytics Analytics Data Processing 98

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 124

Analytics Visualization Data Integration Cost-Benefit 124

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

AWS Big Data

AUGUST 22, 2024

Kaplan data engineers empower data analytics using Amazon Redshift and Tableau. The infrastructure provides an analytics experience to hundreds of in-house analysts, data scientists, and student-facing frontend specialists. Committed to fostering a learning culture, Kaplan is changing the face of education.

Data Warehouse 116

Data Warehouse Data Lake Data Integration Management 116

Data Virtualization

FEBRUARY 17, 2022

Reading Time: 3 minutes Data is at the center of every company. Through the information that is generated by a company’s processes on a daily basis, companies can improve decision-making capabilities now for better business results down the road. The post What is Data Virtualization? However, every day, companies generate.

IT 81

IT Data Integration Management Data Lake 81

Ontotext

JUNE 10, 2021

There are no easy answers in life or in Information Architecture. This is why data-driven companies like the FAANGs, global pharma brands and the financial industry have long ago switched to graph databases. They should be able to continuously integrate data across multiple internal systems and link it to data from external sources.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

BizAcuity

APRIL 6, 2022

Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of. If you are interested in receiving more information about us and our work in the gaming space, get in touch with us.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. These information resources can hold enormous value for enterprises , enabling them to gain new insights about customers and market trends.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Smart Data Collective

AUGUST 21, 2022

Every year, the use of AI algorithms and information sets grows and improves. But what is the state of AI and Big Data, right now? In this article, we take a snapshot look at the world of information processing as it stands in the present. organized information. The Big Data is too…big. Data Democratization.

Big Data 98

Big Data Cost-Benefit Sales Snapshot 98

DataKitchen

NOVEMBER 18, 2021

The important thing to realize is that these problems are not the fault of the people working in the data organization. The data analytics lifecycle is a factory, and like other factories, it can be optimized with techniques borrowed from methods like lean manufacturing. Everyone in the industry faces these problems.

Testing 246

Testing Data Governance Measurement Software 246

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration.

Data Warehouse 125

Data Warehouse Data-driven Machine Learning B2B 125

CIO Business Intelligence

MARCH 22, 2022

If you opt for a data warehouse, define master data to enable easy search queries. This is important, for example, if different departments organize and classify the same information in different ways. You might have reasons to run a data lakehouse and possibly other, purpose-built data stores.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115