Paul Blogs on BI

JULY 8, 2019

The content and tone of the conference clearly showed that it is by advancing toward new Business Intelligence technologies and methodologies while leveraging and integrating what we have that we can make progress and fly. There was also a lot of discussion about Cloud, Machine Learning and Artificial Intelligence.

Dashboards 53

Dashboards Snapshot Business Intelligence Visualization 53

datapine

OCTOBER 23, 2019

Download our bite-sized guide and learn everything you need to know! A static report offers a snapshot of trends, data, and information over a predetermined period to provide insight and serve as a decision-making guide. Exclusive Bonus Content: Get our free summary to create better reports! What Is Static Reporting?

Reporting 109

Reporting Key Performance Indicator KPI Dashboards 109

CIO Business Intelligence

JUNE 1, 2022

The tech giant’s mid-range storage product has also been equipped with new VMware integrations, including improved vVols latency and performance, simplified disaster recovery with vVols replication, as well as VM-level snapshots and fast clones.

Deep Learning 105

Deep Learning Snapshot Optimization Data Quality 105

CIO Business Intelligence

APRIL 4, 2022

Soon thereafter Clean Harbors took a big leap to Microsoft Azure’s AI Cognitive Services and Azure Machine Learning Platforms to gain valuable insights into its operations, adding robotic process automation (RPA) platforms from UiPath and Automation Anywhere to automate business processes as well.

Digital Transformation 98

Digital Transformation Snapshot Cost-Benefit Modeling 98

AWS Big Data

MARCH 10, 2023

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data.

Data Lake 108

Data Lake Sales Data Warehouse Snapshot 108

IBM Big Data Hub

APRIL 8, 2024

  Db2 Warehouse , our cloud-native data warehouse for real-time operational analytics, business intelligence (BI), reporting and machine learning (ML), is also available as a fully managed service on AWS to support customer’s data warehousing needs.  At what level are snapshot-based backups taken?

Snapshot 76

Snapshot Data Warehouse Data Processing Management 76

datapine

NOVEMBER 13, 2019

A procurement report allows an organization to demonstrate how its procurement activities deliver value for money, contribute to the realization of its broader goals and objectives, and provide a panoramic snapshot of the effectiveness of its procurement strategy. Last, but not least: repeat & learn. Group your suppliers.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

DataKitchen

MAY 10, 2021

Best practices include continuous monitoring of machine learning models for degradations in accuracy. . Figure 1: The process of transforming raw data into actionable business intelligence is a manufacturing process. Location Balance tests ensure that data properties match business logic at each stage of processing.

Testing 214

Testing Manufacturing Data Quality Statistics 214

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. Amazon SageMaker is used to build, train, and deploy a range of ML models.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

AWS Big Data

MARCH 18, 2024

Namespaces group together all of the resources you use in Redshift Serverless, such as schemas, tables, users, datashares, and snapshots. Create a Redshift Serverless workgroup There are two primary components of the Redshift Serverless architecture: Namespace – A collection of database objects and users.

Data Warehouse 86

Data Warehouse Visualization Snapshot Data-driven 86

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 100

Analytics Data Warehouse Testing Dashboards 100

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows. Snapshot queries on Merge On Read tables have higher query latencies than on Copy On Write tables.

Data Lake 118

Data Lake Metadata Optimization Statistics 118

Sisense

APRIL 7, 2020

If you’ve got data, chances are you want to do some machine learning to pull predictive insights out of it. And the biggest benefit — it’s cost-effective. The success of the latest API release means shared customers of both platforms will enjoy a more integrated data ecosystem.”.

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

IBM Big Data Hub

MAY 17, 2024

Yet, the low adoption rates of business intelligence (BI) tools present a significant hurdle. According to Gartner, although the number of employees that use analytics and business intelligence (ABI) has increased in 87% of surveyed organizations, ABI is still used by only 29% of employees on average.

Dashboards 86

Dashboards Business Intelligence Snapshot Interactive 86

Alation

AUGUST 26, 2021

For this reason, data intelligence software has increasingly leveraged artificial intelligence and machine learning (AI and ML) to automate curation activities, which deliver trustworthy data to those who need it. How Do Data Intelligence Tools Support Data Culture? BI and AI for Data Intelligence.

Metadata 64

Metadata Data Governance Dashboards Software 64