Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

DECEMBER 5, 2023

She helps customers architect data analytics solutions at scale on AWS. He has worked on building and tuning data warehouse and data lake solutions for over 15 years. He is passionate about helping customers modernize their data platforms with efficient, performant, and scalable analytic solutions.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

Jet Global

JULY 19, 2021

In 2018, the Financial Accounting Standards Board (FASB) simplified many of the questions surrounding the valuation of such assets and liabilities by issuing ASC 820, also known as the Fair Value Measurements and Shareholding Disclosure. Getting ASC Fair Value Measurement Right. ASC 820 Fair Value Definition. Enable cookies.

Measurement 98

Measurement Recreation/Entertainment Reporting Marketing 98

Jet Global

JANUARY 13, 2023

Measure customer satisfaction? While these areas can all be measured, giving your company a number to aim for, there is often a gap between your numbers and true customer happiness. For example, there are at least five different options to measure “customer arrival date.” Discover how SAP data quality can hurt your OTIF.

Measurement 52

Measurement Reporting Operational Reporting Forecasting 52

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 91

Data Warehouse Cost-Benefit Dashboards Optimization 91

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. This results in less joins between the metric data in fact tables, and the dimensions. So let’s dive in! OLTP vs OLAP.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Laminar Security

JULY 19, 2023

To effectively protect sensitive data in the cloud, cyber security personnel must ensure comprehensive coverage across all their environments; wherever data travels, including cloud service providers (CSPs), data warehouses, and software-as-a-service (SaaS) applications.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Their cluster size of the provisioned data warehouse didn’t change.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

CIO Business Intelligence

SEPTEMBER 26, 2023

But because electricity consumption was easy to gauge, there was no urgency for measuring current and low voltage power flows. But the measuring solution was complex and required frequent manual adaptions as solar PV systems increased. Without real-time power measurements, estimated power values were being used.

Machine Learning 103

Machine Learning Forecasting Measurement Data Warehouse 103

datapine

MAY 29, 2019

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. Data sharing provides live access to data so that you always see the most up-to-date and consistent information as it’s updated in the data warehouse.

Big Data 64

Big Data Data Warehouse Advertising OLAP 64

CIO Business Intelligence

MARCH 6, 2024

The metrics you use to measure a cloud company are different than those you use to measure an enterprise license and maintenance company. When you measure the performance of a region, and a deal is papered in North America, but the real sales work was done in Europe, is it a US or a Europe deal?

Modeling 114

Modeling Management IT Metrics 114

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Data lakes are more focused around storing and maintaining all the data in an organization in one place.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. Loading data is a key process for any analytical system, including Amazon Redshift.

Data Lake 72

Data Lake Data Warehouse Cost-Benefit Optimization 72

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. These upstream data sources constitute the data producer components.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

CIO Business Intelligence

FEBRUARY 15, 2024

Data is one of the most important levers the CIO can use to have an effective dialogue with the CEO. But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.”

Strategy 117

Strategy Digital Transformation Cost-Benefit Forecasting 117

AWS Big Data

MARCH 16, 2023

Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Together with price-performance , Amazon Redshift enables you to use your data to acquire new insights for your business and customers while keeping costs low.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

Paul Blogs on BI

NOVEMBER 13, 2023

If the data is not correct then its garbage in and garbage out, or as I have always said : BIG DATA + BAD DATA = BIG BAD DATA However, when it comes to a good data strategy, it’s not just about the quality of the data, it’s also about the design and functionality of the structure where it is housed.

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

Sisense

APRIL 17, 2020

Understanding the details is key, otherwise “digital transformation” will be merely a corporate buzzword that causes headaches, heartbreaks, and lost money instead of producing measurable improvements. Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

CIO Business Intelligence

SEPTEMBER 12, 2022

Data from that surfeit of applications was distributed in multiple repositories, mostly traditional databases. Fazal instructed his IT team to collect every bit of data and methodically determine its use later, rather than lose “precious” data in the rush to build a massive data warehouse. “We

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

AWS Big Data

FEBRUARY 13, 2023

We live in a data-producing world, and as companies want to become data driven, there is the need to analyze more and more data. These analyses are often done using data warehouses. Status quo before migration Here at OLX Group, Amazon Redshift has been our choice for data warehouse for over 5 years.

Snapshot 64

Snapshot Data Warehouse Testing Analytics 64

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 66

Data Warehouse Cost-Benefit KPI Risk 66

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Octopai

FEBRUARY 20, 2022

Deciding to migrate your data from legacy, on-prem databases to a cloud-based data warehouse like Snowflake is often a step in the right direction. Use this map as a Snowflake migration tool to plan your migration and design effective data pipelines for the Snowflake system. Dispose of.

Data Warehouse 92

Data Warehouse Optimization Measurement Visualization 92

AWS Big Data

DECEMBER 19, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it a widely used cloud data warehouse.

Data Analytics 62

Data Analytics Analytics Data Warehouse Data-driven 62

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

CIO Business Intelligence

MARCH 16, 2022

But honestly speaking, there exists no unique maturity model which measures the degree of digital transformation. The same goes for the adoption of data warehouse and business intelligence. The telecom sector prepares the data warehouse and business intelligence use cases even before they go live with their first customer.

Technology 107

Technology Digital Transformation Business Intelligence Data Warehouse 107

CIO Business Intelligence

MARCH 22, 2022

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Focus on a specific business problem to be solved.

Analytics 106

Analytics Key Performance Indicator Data Warehouse Data-driven 106

CIO Business Intelligence

JUNE 23, 2023

There are also no-code data engineering and AI/ML platforms so regular business users, as well as data engineers, scientists and DevOps staff, can rapidly develop, deploy, and derive business value.

Data Strategy 112

Data Strategy Strategy Visualization Consulting 112

CIO Business Intelligence

JUNE 13, 2022

You have to think about the day-to-day life of a clinician,” the COO of German software development company XANTAS AG observed, “and how laboratory values (measurements determining a patient’s health) can be overlooked. The starting point was XANTAS’ existing SAP-based clinical data warehouse named VISMEDICA. Power of knowledge.

Data Warehouse 94

Data Warehouse Software Manufacturing Machine Learning 94

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. . BARC conclusion.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

IBM Big Data Hub

OCTOBER 30, 2023

By combining IBM’s advanced data and AI capabilities powered by Watsonx platform with AWS’s unparalleled cloud services, the partnership aims to create an ecosystem where businesses can seamlessly integrate AI into their operations.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The first diagram illustrates the architecture before using data sharing. The following diagram illustrates this process.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96