David Menninger's Analyst Perspectives

MARCH 17, 2022

Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance.

Business Intelligence 162

Business Intelligence Data Warehouse Data Quality Dashboards 162

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 76

Data Warehouse Sales Visualization Data Processing 76

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

APRIL 10, 2024

“Data is at the center of every application, process, and business decision. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility.

Data Warehouse 88

Data Warehouse Analytics Metrics Snapshot 88

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. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

Sisense

AUGUST 4, 2021

Infusing intelligence everywhere is where Sisense shines, which is why in Q2 we’ve invested in bringing you Infusion Apps that leverage our brand new Extense Framework along with other features that allow you to explore new dimensions of your data. Optimize your cloud data warehouse cost forecasting. Learn more.

Dashboards 52

Dashboards Analytics Data Warehouse Forecasting 52

AWS Big Data

DECEMBER 5, 2023

HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results. The first step in this process is mapping the digital divide.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. Introduction To Business Intelligence Concepts.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

FineReport

JULY 1, 2021

With the advancement of technology, it is becoming easier for people to obtain a large amount of data. Therefore, the technical requirements for analyzing data are constantly increasing. Also, I will give you some samples on dashboards, ad-hoc analysis, enterprise reporting to help to understand. Data warehouse.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

CIO Business Intelligence

MAY 28, 2022

Das’s biggest priorities include integrating Randall-Reilly IT with client systems to become more essential to their businesses, rearchitecting old systems using modern approaches such as microservices, implementing AI and machine learning to automate manual processes, and delivering clean, standardized data for analytics and monitoring.

IT 137

IT ROI Cost-Benefit Technology 137

Smart Data Collective

JUNE 15, 2021

MB of data per second , and with each click, swipe, view, purchase, and shipment, your business collects more information on its customers that you can use to help manage your business more efficiently and drive more revenue. 1 – Limit the number of dashboard elements. 4 – Upgrade your data warehouse.

Data Warehouse 96

Data Warehouse Dashboards Optimization Metrics 96

CIO Business Intelligence

JULY 18, 2022

Central to Byrdak’s multi-year transformation plan is the expansion of MealConnect, the first nationally available food rescue and sourcing platform, and a new data warehouse to anchor an analytics offering that helps food banks analyze and visualize their food sourcing and distribution data.

Data Warehouse 133

Data Warehouse Dashboards Reporting Manufacturing 133

AWS Big Data

MARCH 29, 2024

Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Choose SHARE.

Metrics 101

Metrics Visualization Dashboards Interactive 101

CIO Business Intelligence

MAY 25, 2022

Das’s biggest priorities include integrating Randall-Reilly IT with client systems to become more essential to their businesses, rearchitecting old systems using modern approaches such as microservices, implementing AI and machine learning to automate manual processes, and delivering clean, standardized data for analytics and monitoring.

IT 116

IT ROI Cost-Benefit Technology 116

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

Cloudera

SEPTEMBER 17, 2018

This puts new pressures on the people working behind the scenes to prepare and serve data in a consumable way to a growing audience with various levels of access credentials and technical expertise. Consider the following: More data types to be queried, but increasingly the data resides in separate silos.

Data Warehouse 52

Data Warehouse Optimization Visualization Unstructured Data 52

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. On the provisioned snapshot dashboard, on the Restore snapshot menu, choose Restore to provisioned cluster or Restore to serverless namespace.

Snapshot 80

Snapshot Management Data Warehouse Dashboards 80

Sisense

JULY 7, 2020

At Sisense, we understand that data-driven organizations require solutions that deliver maximum flexibility when it comes to getting the most out of their data: How it’s consumed, by whom, and ultimately, how business users can transform the insights gleaned from their data into actionable insights. Additional capabilities.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Data is made queryable in real time.

Metrics 82

Metrics Slice and Dice Data Warehouse Dashboards 82

AWS Big Data

NOVEMBER 28, 2023

To run analytics on their operational data, customers often build solutions that are a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 89

Data Warehouse Data-driven Machine Learning B2B 89

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 135

Data mining Data-driven Statistics OLAP 135

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 91

Management Data Warehouse Metrics Dashboards 91

datapine

SEPTEMBER 27, 2022

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. SQL Books For Beginners. This book fills that need.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Every organization needs data to make many decisions.

Interactive 113

Interactive Unstructured Data Analytics Data Warehouse 113

FineReport

JULY 23, 2020

In today’s fast-paced technological environment, everyone’s focus is often on the concept such as “data middle-platform”, “data warehouse”, and so on. Data is stored in different databases, and it is difficult to retrieve data from each database. Data extraction is troublesome. From businesstech.

IT 98

IT Reporting Visualization Data Warehouse 98

Juice Analytics

NOVEMBER 11, 2021

When it comes to using data, many organizations are reminiscent of the famous poem “Rime of the Ancient Mariner”: “Water, water, every where, Nor any drop to drink”. Data is everywhere, but it seldom seems to quench the thirst for smarter decisions. (As What does it take for an organization to be able to unlock the value in its data?

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20. million at the end of 2022.

Data Warehouse 108

Data Warehouse Cost-Benefit Sales Data-driven 108

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 101

Data Warehouse Testing Data Quality Reporting 101

Cloudera

SEPTEMBER 17, 2020

This platform, including an ad-hoc capable data warehouse service with built-in, easy-to-use visualization, made it easy for anyone to jump in and start experimenting. They also reduced the negative impact and cost that moving data between systems and tools had on their business.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

O'Reilly on Data

AUGUST 18, 2020

We’ll share why in a moment, but first, we want to look at a historical perspective with what happened to data warehouses and data engineering platforms. Lessons Learned from Data Warehouse and Data Engineering Platforms. What happens when you want to incorporate real-time data feeds?

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

Sisense

JANUARY 1, 2020

Few worlds have a pace of innovation quite like data and analytics. Analytics and data are becoming an integral part of every software product and every company. Activate Your Dashboard. 5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company.

Analytics 98

Analytics Digital Transformation Data Warehouse Dashboards 98

CIO Business Intelligence

MARCH 28, 2022

After launching the Healthcare and Life Sciences Data Cloud Platform just a week ago, Snowflake has announced a Retail Data Cloud aimed at helping retail and consumer goods companies make the most of their data. The Retail Data Cloud will also include prebuilt data applications from various technology and consulting partners.

Consulting 110

Consulting Data Warehouse Machine Learning Dashboards 110

Jet Global

JANUARY 15, 2020

It’s data analysis instead of just collection and reporting. For example: Finance needs to be able to drill into data at a granular level when it comes to reconciling accounts or resolving variances to examine balances, journal entries, and subledger transactions. It also requires a narrative that tells the story behind those numbers.

IT 59

IT Finance Reporting Data-driven 59

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany wants to build a new dashboard with quote history data for analysis and business insights.

Dashboards 72

Dashboards Data Warehouse Visualization Data Processing 72

Sisense

APRIL 17, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Why use a materialized view?

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

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

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97