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

Actian

FEBRUARY 17, 2020

Your users are happy, but management is starting to ask questions about what’s next and how they can pull together the data from across different systems to drive real-time decision making across your operations. You need a real-time connected data warehouse. Why You Need a Connected Data Warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Analysts Corner

OCTOBER 26, 2023

This data must be cleaned, transformed, and integrated to create a consistent and accurate view of the organization’s data. Data Storage: Once the data has been collected and integrated, it must be stored in a centralized repository, such as a data warehouse or a data lake.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

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

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

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

Sisense

MARCH 27, 2019

To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools. This allows dashboards to show both real-time and historic data in a holistic way.

Business Intelligence 74

Business Intelligence Business Intelligence Data Warehouse Supply Chain 74

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

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

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

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

Astera

JUNE 5, 2024

In conventional ETL , data comes from a source, is stored in a staging area for processing, and then moves to the destination (data warehouse). In streaming ETL, the source feeds real-time data directly into a stream processing platform. It can be an event-based application, a web lake, a database , or a data warehouse.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

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

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

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 Data Management Retail Logistics 52

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

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

Astera

MAY 31, 2024

Data integration combines data from many sources into a unified view. It involves data cleaning, transformation, and loading to convert the raw data into a proper state. The integrated data is then stored in a Data Warehouse or a Data Lake. Data warehouses and data lakes play a key role here.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

JUNE 14, 2023

Supply Chain Management Systems: These systems enable businesses to manage their supply chain operations, including procurement, inventory management, and logistics. OLAP databases optimize complex data queries and cater to systems that require processing large volumes of data for data analysis and reporting.

Supply Chain 40

Supply Chain Financial Analysis Data Warehouse Real-time Data 40

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 Monitoring Data Warehouse Real-time Data 40

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 Logistics 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 Big Data Data Warehouse 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 Big Data Data Warehouse 40

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

Astera

MAY 13, 2024

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

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

Domo

JULY 31, 2019

10 It’s a logistical dance that demands constant attention. Your data Use this as an opportunity to get your data warehouse in order to make the most out of AR. Get all of your relevant data in one place. It carries around 40,000 items—everything from alkaline batteries to zucchini.

Retail 52

Retail Planning E-Commerce Digital Transformation 52

Astera

MAY 30, 2024

Example : A logistics company uses prescriptive analytics to optimize delivery routes and schedules based on traffic, weather conditions, and customer location data to ensure the fastest delivery times. Here’s how: Key Features: User-Friendly UI : Expedite data warehouse tasks with a user-friendly, no-code environment.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

MAY 6, 2024

Process Optimization: Data mining tools help identify bottlenecks, inefficiencies, and gaps in business processes. Whether it’s supply chain logistics, manufacturing, or service delivery, these tools optimize operations, reduce costs, and enhance productivity.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Bridging the Gap

JULY 15, 2024

We’re going to start a big push to make our decisions better informed with better data. I’ve been brought in on the data warehouse team to start working through some of these data sets. I’m working with logistics right now on bringing on a new outside warehouse.

E-Commerce 52

E-Commerce Skillset Business Analysis Business Analysis 52

Sisense

JANUARY 13, 2020

Whatever your department , whether you’re concerned with production, inventory, warehousing, or transportation and other logistics , knowing precisely how your operation is running and where it can be improved is essential to improving your bottom line.

Supply Chain 52

Supply Chain Embedded Analytics Pharmaceutical Big Data 52

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

AUGUST 15, 2024

Regardless of their SCM approach, organizations will need a strong supply chain network with solid partnerships and good logistics management procedures in order to meet supply chain management KPIs. It focuses on the design, planning, execution, and control of the processes that transform inputs into finished products or services.

Supply Chain 52

Supply Chain IBM Support Procurement IBM cost 52

Insight Software

OCTOBER 4, 2021

Because variability between on-time deliveries and on-time shipments likely points to a problem with transportation and logistics. In an increasingly globalized economy, however, transportation and logistics are more important than ever. #10. Supply Chain Costs as a Percentage of Sales.

Supply Chain 96

Supply Chain IBM Maintenance IBM cost IBM Support 96

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