Data Pine

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. The data warehouse. 1) The raw data.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Actian

JANUARY 9, 2020

Leveraging a connected data warehouse to develop a 360-degree view of your customers can help you identify how satisfied your customers are and what they really want. Internal systems : Your CRM platform likely isn’t your only internal system that contains data about your customers. The cloud data warehouse can support that.

Data Warehouse 8

Data Warehouse Logistics Product Management Product Management 8

Astera

JUNE 14, 2023

The ultimate goal is to convert unstructured data into structured data that can be easily housed in data warehouses or relational databases for various business intelligence (BI) initiatives. All of this can be accelerated with automated document data extraction.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Ntara

JULY 26, 2021

What is a “homegrown” product data system? Most manufacturing organizations have some kind of database or data warehouse that holds lots and lots of company information. It’s likely pulling data from your ERP, multiple spreadsheets, multiple data warehouses, and more. It may or may not have a user interface.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Ntara

JULY 26, 2021

What is a “homegrown” product data system? Most manufacturing organizations have some kind of database or data warehouse that holds lots and lots of company information. It’s likely pulling data from your ERP, multiple spreadsheets, multiple data warehouses, and more. It may or may not have a user interface.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Actian

JULY 16, 2019

Small, inexpensive devices connected to a company’s network provide real-time telemetry and monitoring of business processes, operations, delivery logistics, facilities issues and much more. The characteristics that make IoT so attractive to business users is also leading to a rather large headache for IT staffs.

Digital Transformation 40

Digital Transformation Data Warehouse Real-time Data Monitoring 40

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Timo Elliott

NOVEMBER 30, 2022

Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud. The problem is that we’ve been doing analytics wrong for thirty years. Conclusion.

Innovation 237

Innovation Vision Data Warehouse Logistics 237

Astera

DECEMBER 7, 2023

ETL refers to a process used in data integration and warehousing. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse , or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Domo

APRIL 14, 2021

In order to be a truly modular, composable, and agile enterprise in the age of constant disruption, you need to have strong foundations in cloud data integration, augmented BI workflows, and delivery of sophisticated data products across lines of business.

Agile 98

Agile Data Warehouse Data Architecture Logistics 98

MindsMapped

JULY 22, 2020

Data-warehouse projects. Common Industries are Finance, Healthcare, Insurance, Logistics, Oil and Gas, Real Estate,Tele-Communication and Travel(Open ended please add to the list). Tools Specific Business Analyst Roles.

Business Analysis 75

Business Analysis Business Analysis Business Intelligence Business Intelligence 75

Astera

DECEMBER 7, 2023

ETL refers to a process used in data warehousing and integration. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse, or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Astera

MAY 30, 2023

They are responsible for collecting, transforming, and moving data from various sources to a central location for analysis and decision-making. Data pipelines can process data from different types of sources, including databases, files, and applications, and then store them in a central repository such as a data warehouse or a data lake.

Data Warehouse 52

Data Warehouse Retail Data Management Logistics 52

Insight Software

JANUARY 5, 2021

Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards. It offers the benefits of a data warehouse–high-performance, sophisticated analysis capabilities and the capacity to manage and analyze very large data sets.

Supply Chain 98

Supply Chain Data Warehouse Finance Business Intelligence 98

BizAcuity

APRIL 14, 2022

They tell you how big data helped them create a mark in today’s world. Currently in the market, organizations look at on-premises, cloud storage, hybrid and multi-cloud storage options based on the kind of data they have and decide between data lakes, data warehouses or both depending on the kind of data they have and their long term goals.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Domo

MAY 17, 2021

For the best results, make sure you understand how you store data in S3 along with its relation to other S3 databases. Amazon Redshift is an AWS-hosted data warehouse used to handle analytics workloads on large-scale datasets stored by a column-oriented DMBS principle. Domo AWS connectors for Amazon Redshift.

Data Warehouse 52

Data Warehouse Cloud Computing Monitoring Logistics 52

Sisense

JULY 22, 2020

Every organization generates and gathers data, both internally and from external sources. The data takes many formats and covers all areas of the organization’s business (sales, marketing, payroll, production, logistics, etc.) External data sources include partners, customers, potential leads, etc. Connect tables.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

The BAWorld

NOVEMBER 22, 2021

Online analytical processing is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or centralized data store. Datamart is a subset of a data warehouse focused on a particular line of business, department, or subject area.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Sisense

JANUARY 6, 2020

This is not to say that data modeling should be focused specifically on sales. BI and analytics is used across multiple functions: marketing, sales, customer success, product, distribution, operations and logistics to name a few. To achieve this, first requires getting the data into a form that delivers insights.

Data Modelling 91

Data Modelling Data Warehouse Logistics Customer Experience 91

Actian

AUGUST 27, 2019

As ML and AI become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses when it comes to the need to feed data into algorithms that are making or supporting real-time decisions and automation.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Actian

AUGUST 27, 2019

As ML and AI become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses when it comes to the need to feed data into algorithms that are making or supporting real-time decisions and automation.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Data Pine

AUGUST 29, 2022

Best for: the seasoned BI professional who is ready to think deep and hard about important issues in data analytics and big data. An excerpt from a rave review: “…a tour de force of the data warehouse and business intelligence landscape.

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 204

Business Intelligence Business Intelligence Logistics Data Warehouse 204

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Warehouse 130

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Warehouse 130

Actian

DECEMBER 18, 2019

These are extremely data-intensive use cases that are also reliant on data from new sources like SaaS apps, and via myriad integrations in the cloud. The low-code/no-code movement has come to many areas and functions that historically supported analytics, such as data integration and ETL.

Data Warehouse 40

Data Warehouse Customer Experience Customer Experience Innovation 40

Insight Software

NOVEMBER 16, 2021

What is a Logistics KPI? A logistics key performance indicator (KPI) is a quantitative tool used by businesses to measure performance within their logistics department. Logistics KPIs can measure a variety of metrics, most of which pertain to purchasing, warehousing, transportation, delivery of goods, and financials.

Logistics 84

Logistics IBM cost IBM Maintenance IBM Support 84

Insight Software

FEBRUARY 5, 2024

Powerful technology plays a key role in these efforts, as insight-enabled supply chain management allows early adopters to improve logistics costs by 15%, compared with slower-moving competitors. Identify outdated equipment, wasteful processes, and inefficient transportation routes.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM cost 52

Insight Software

FEBRUARY 20, 2024

Angles translates complex SAP data into a common language, fostering a culture of shared understanding and data-driven decision-making. Imagine procurement working hand-in-hand with sales, and manufacturing seamlessly aligning with logistics – a truly connected supply chain humming with efficiency.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM cost 52

Insight Software

MARCH 24, 2024

Overhead expenses are considered the administrative and logistics costs that the non-profit incurs to keep the organization running. This knowledge will allow the business to optimize its efforts and model other campaigns after its most successful program. Non-profit organizations often utilize donations to pay for these overhead expenses.

IBM cost 52

IBM cost IBM Maintenance IBM Support Monitoring 52

Insight Software

MARCH 23, 2024

Government operating cost : Much like for-profit or non-profit organizations, public sector operating cost is the amount spent on administration, personnel, and logistics. In this case, the sub-central governments do not have tax autonomy, but they may be able to negotiate a tax sharing arrangement with the central government.

Government 52

Government IBM Maintenance IBM cost IBM Support 52

Insight Software

JULY 1, 2022

Improved reliability in master data and transactional data. Significant and immediate cash saving opportunities – without further expenditure. These positive results were welcomed by Heineken.

Supply Chain 98

Supply Chain IBM Support IBM Expert IBM Maintenance 98

Insight Software

JUNE 22, 2023

You can use the spreadsheet to perform linear and logistic regressions. But of course, an application marketed as either BI or BA could very well be capable of all four modes. Take Excel, for example. Microsoft calls it “a spreadsheet” — neither BI nor BA. Both of these are predictive statistical tools.

IBM Support 52

IBM Support Supply Chain IBM Maintenance Business Intelligence 52

Insight Software

JUNE 25, 2021

Government operating cost : Much like for-profit or non-profit organizations, public sector operating cost is the amount spent on administration, personnel, and logistics. In this case, the sub-central governments do not have tax autonomy, but they may be able to negotiate a tax sharing arrangement with the central government.

Government 104

Government IBM Maintenance IBM cost IBM Support 104

Insight Software

JUNE 24, 2021

Overhead expenses are considered the administrative and logistics costs that the non-profit incurs to keep the organization running. This knowledge will allow the business to optimize its efforts and model other campaigns after its most successful program. Non-profit organizations often utilize donations to pay for these overhead expenses.

IBM cost 98

IBM cost IBM Support IBM Maintenance Finance 98

Insight Software

JUNE 24, 2023

Overhead expenses are considered the administrative and logistics costs that the non-profit incurs to keep the organization running. This knowledge will allow the business to optimize its efforts and model other campaigns after its most successful program. Non-profit organizations often utilize donations to pay for these overhead expenses.

IBM cost 52

IBM cost IBM Maintenance IBM Support Monitoring 52

Insight Software

JUNE 23, 2023

Government operating cost : Much like for-profit or non-profit organizations, public sector operating cost is the amount spent on administration, personnel, and logistics. In this case, the sub-central governments do not have tax autonomy, but they may be able to negotiate a tax sharing arrangement with the central government.

Government 52

Government IBM Maintenance IBM cost IBM Support 52