AWS Big Data

JUNE 19, 2023

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics and natural language queries. With dataset parameters!

Optimization 73

Optimization Slice and Dice Dashboards Recreation/Entertainment 73

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. From an operational standpoint, we designed a new shared responsibility model for data ingestion using AWS Glue instead of internal services (REST APIs) designed on Amazon EC2 to extract the data.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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 98

Analytics Visualization Data Integration Cost-Benefit 98

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. The following table summarizes the workload management configuration prior to the solution implementation.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

Corinium

APRIL 7, 2021

This brief explains how data virtualization, an advanced data integration and data management approach, enables unprecedented control over security and governance. In addition, data virtualization enables companies to access data in real time while optimizing costs and ROI.

Unstructured Data 195

Unstructured Data Management ROI Data Integration 195

Jedox

FEBRUARY 20, 2020

In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe.

Data Integration 52

Data Integration Finance Business Driver Forecasting 52

BizAcuity

MAY 4, 2021

In today’s data-powered world with data fueling everything from essential management systems to customer-focused AI solutions , one thing that often gets in the way is data fragmentation. . Why Data integration plays a vital role for gaming companies? Customer Lifetime Value Optimization.

Data Integration 40

Data Integration Cost-Benefit Optimization Behavioral Analytics 40

Jet Global

MAY 12, 2023

To keep up with the demands that digital innovations place upon product markets, businesses are increasingly incorporating analytics into their products. Both product analytics and embedded analytics fall into this tool category. Let’s look at how embedded analytics differs from product analytics, and why both are useful.

Analytics 52

Analytics Slice and Dice Sales Cost-Benefit 52

AWS Big Data

JULY 13, 2023

He has been leading the building of data warehouses and analytic solutions for the past 20 years. Jason Yung is a Principal Analytics Specialist with Amazon Web Services. The Altron team created an AWS Glue crawler and configured it to run against Azure SQL to discover its tables.

Optimization 92

Optimization B2B Data Quality Sales 92

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Smarten

SEPTEMBER 28, 2022

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Marketing Optimization. Predictive Analytics Using External Data.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics? Definition.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In our world of Big Data, marketers no longer need to simply rely on their gut instincts to make marketing decisions.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

CIO Business Intelligence

MARCH 22, 2022

How do you introduce AI into your data and analytics infrastructure? To companies entrenched in decades-old business and IT processes, data fiefdoms, and legacy systems, the task may seem insurmountable. Set up unified data governance rules and processes. Consider deploying analytics-as-a-service .

Analytics 96

Analytics Key Performance Indicator Data Warehouse Data-driven 96

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. Partner Solutions Architect in Data and Analytics at AWS.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

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 Modeling 130

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. There are several styles of data integration.

Cost-Benefit 69

Cost-Benefit Data Integration Data Architecture Manufacturing 69

AWS Big Data

DECEMBER 20, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development. One of the most common questions we get from customers is how to effectively optimize costs on AWS Glue.

Cost-Benefit 100

Cost-Benefit Optimization Big Data Data Integration 100

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. But integrating data isn’t easy.

Data Warehouse 94

Data Warehouse Data-driven Machine Learning B2B 94

CIO Business Intelligence

MAY 9, 2024

In today’s data-driven world, the ability to seamlessly integrate structured and unstructured data in a hybrid cloud environment is critical for organizations seeking to harness the full potential of their data assets. However, many enterprises face significant challenges in achieving this seamlessly.

Digital Transformation 52

Digital Transformation Data Integration Unstructured Data Data-driven 52

Smarten

MAY 14, 2019

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Marketing Optimization. Predictive Analytics Using External Data.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

3AG Systems

NOVEMBER 23, 2021

Why does manufacturing analytics not live up to expectations? The granddaddy of manufacturing analytics was SCADA, and SCADA is ancient. As an aside here, many companies treat these “analytics products” the same way they would a new machine. What is manufacturing analytics? We think there are two driving forces here.

Manufacturing 40

Manufacturing Analytics Optimization Data Integration 40

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. For data warehouses, it can be a wide column analytical table. Data and cloud strategy must align.

Data Architecture 99

Data Architecture Data Integration IoT Strategy 99

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

Data Warehouse 100

Data Warehouse Machine Learning Data-driven Data Lake 100

Jet Global

MAY 20, 2022

That’s where Angles from insightsoftware comes in, helping mid-sized finance and accounting teams optimize their ERP reporting processes and gain fast, accurate analytics. Angles is a complete, ready-to-go, no-code solution that integrates with your ERP to optimize reporting processes. Enable cookies.

Reporting 52

Reporting Optimization Operational Reporting IT 52

AWS Big Data

JUNE 28, 2023

For example, customers told us that they want to ingest streaming data into their data stores for doing analytics—all without delving into the complexities of ETL. They can connect to multiple data streams and pull data directly into Amazon Redshift without staging it in Amazon Simple Storage Service (Amazon S3).

Analytics 71

Analytics Data Warehouse Data Lake Data-driven 71

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. 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. . Reflow — A system for incremental data processing in the cloud.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MAY 21, 2024

During implementation, the LINQ team worked with OpenSearch Service specialists to optimize the OpenSearch Service cluster configuration to maximize performance and optimize cost of the solution. This results in an optimized record for each product for quick and efficient search in OpenSearch Service.

Manufacturing 99

Manufacturing Sales Optimization Data Processing 99

Occam's Razor

DECEMBER 9, 2013

Progress in digital marketing and analytics in either scenario becomes painful (the organization / systems / thinking is simply not in the optimal position). In this post I want to arm you with the evolution you should undertake in your companies when it comes to marketing and analytics. Learn, get better, try some more.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

IBM Big Data Hub

JUNE 29, 2023

Learn more about IBM Planning Analytics Integrated business planning framework Integrated Business Planning (IBP) is a holistic approach that integrates strategic planning, operational planning, and financial planning within an organization.

Key Performance Indicator 77

Key Performance Indicator Forecasting Data Integration Sales 77

AWS Big Data

MAY 1, 2024

AWS Glue is a fully managed, serverless data integration service provided by Amazon Web Services (AWS) that uses Apache Spark as one of its backend processing engines (as of this writing, you can use Python Shell , Spark , or Ray ). Salting – This involves adding a random prefix to the key of skewed data.

Broadcasting 81

Broadcasting Optimization Metrics Interactive 81

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52