Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? The first article looked at manufacturing operations and integrating data across your supply chain.

Data Warehouse 40

Data Warehouse Supply Chain Enterprise Architecture Digital Transformation 40

Timo Elliott

MARCH 6, 2023

He explains that automation and innovation have become critical as the world experiences supply chain disruptions, inflation, extreme weather events, worker shortages, and uncertainty. He focuses on three big opportunities: faster innovation, empowering business people, and moving from analytics to action.

Artificial Intelligence 278

Artificial Intelligence Innovation Supply Chain Logistics 278

BizAcuity

APRIL 14, 2022

They tell you how big data helped them create a mark in today’s world. FedEx along with the data of orders, merges these with weather and traffic data. Tesla is another company that picks up data from their cars and also analyzes traffic and weather. With big data, brands want to improve their value offerings.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data. Improving the supply chain and mitigating its risk.

Supply Chain 52

Supply Chain Embedded Analytics Pharmaceutical Data Warehouse 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. OLTP systems optimize write operations and exhibit low data latency, ensuring efficient handling of real-time transactions. What is OLAP?

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

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

Insight Software

JULY 26, 2022

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. Moving data between systems is a time-consuming process prone to human-error. RALEIGH, N.C.—July formerly Noetix). About insightsoftware.

Supply Chain 52

Supply Chain Data Warehouse Finance Customer Experience 52

Insight Software

JULY 26, 2022

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. Moving data between systems is a time-consuming process prone to human-error. RALEIGH, N.C.—July formerly Noetix). About insightsoftware.

Supply Chain 52

Supply Chain Data Warehouse Finance Customer Experience 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

MARCH 5, 2021

And yet experts estimate that up to 80% of this data is “dark data,” meaning it sits unseen and unused in segmented silos. Every business, no matter what size, has an accumulation of dark data sitting in repositories like spreadsheets on employees’ desktops, data warehouses, and non-relational databases.

Data Warehouse 52

Data Warehouse Supply Chain Government Innovation 52

Insight Software

MAY 27, 2022

How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Here’s how they correlate: Data lake: An information repository that can be stored in a variety of different ways, typically in a raw format like SQL.

Supply Chain 52

Supply Chain Data Warehouse Finance Financial Analysis 52

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Government 130

ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Government 130

ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Business Intelligence 130

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

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. Government: Using regional and administrative level demographic data to guide decision-making.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Insight Software

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. When supply-chain bottlenecks occur, for example, BI tools can help managers understand what’s happening on the ground.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Warehouse 52

Domo

SEPTEMBER 4, 2024

I wouldn’t even call it business intelligence anymore—it’s about growing data and analytics capabilities throughout the business. Before, we didn’t have a BI tool, a data warehouse, or a data lake—nothing. So, we started our journey in 2022, doing extensive research in all the data tools.

Retail 52

Retail Supply Chain Finance Master Data Management 52

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

Actian

FEBRUARY 6, 2020

This event stream data is where companies can identify fascinating trends, behaviors, and relationships that can enable them to understand their operations, their environment, and their customers better. The integrated connectivity of Avalanche Connect puts you on the path to DataConnect to manage more streams.

Data Warehouse 40

Data Warehouse Supply Chain Real-time Data Big Data 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

Tableau

FEBRUARY 14, 2022

The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. This modern, cloud-based data stack enables you to have all your data in one place while unlocking both backward-looking, historical analysis as well as forward-looking scenario planning and predictive analysis.

Chief Data Officer 98

Chief Data Officer Supply Chain Government Data Architecture 98

Astera

MAY 30, 2024

For instance, predictive analytics can anticipate demand surges, enabling businesses to dynamically adjust their supply chains. Example : Retail companies analyze customer data to identify purchasing patterns and tailor marketing efforts to different segments, resulting in more personalized and effective promotions.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

JULY 11, 2024

Supply Chain Management (SCM) Systems Description: Systems used to manage the flow of goods, data, and finances related to a product or service from the procurement of raw materials to delivery. Data Migration: Migrate data from legacy software to modern databases or data warehouses and integrate with new systems.

IBM Maintenance 40

IBM Maintenance IBM Support IBM cost Supply Chain 40

Tableau

FEBRUARY 14, 2022

The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. This modern, cloud-based data stack enables you to have all your data in one place while unlocking both backward-looking, historical analysis as well as forward-looking scenario planning and predictive analysis.

Chief Data Officer 95

Chief Data Officer Supply Chain Government Data Architecture 95

Insight Software

JANUARY 6, 2021

Microsoft D365 F&SCM, for example, consists of two primary components–Microsoft D365 Finance and Microsoft D365 Supply Chain Management. In an earlier blog post, we discussed an innovative way to automate the extraction, transformation, and loading of data from your existing ERP system into a test or development environment.

Supply Chain 98

Supply Chain Finance Planning Data Warehouse 98

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

Actian

APRIL 17, 2019

Identify the forces that influence these customers’ buying behavior and use them to customize marketing efforts, provide personalized customer service and even optimize your service supply chain. Predictive analytics is more than just a big data play, it is a critical business requirement.

Predictive Analytics 40

Predictive Analytics Supply Chain Data Warehouse Big Data 40

Astera

AUGUST 13, 2024

Improve Data Access and Usability Modernizing data infrastructure involves transitioning to systems that enable real-time data access and analysis. The transition includes adopting in-memory databases, data streaming platforms, and cloud-based data warehouses, which facilitate data ingestion , processing, and retrieval.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

Each use case represents a unique aspect of the organization’s operations that can be improved through data analysis. These scenarios can range from customer retention and sales forecasting to supply chain optimization and fraud detection. Step 3: Data Cleansing and Preparation Data quality is paramount in BI projects.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Sisense

APRIL 1, 2020

Our reality has changed — from WFH and social isolation to tele-everything and healthcare capacity challenges, to mass reductions of flights and ever-shifting supply chains. Data will be central to how many organizations rethink how to manage inventory, reallocate staff, optimize supply chains, or reassess marketing activities.

Supply Chain 52

Supply Chain Healthcare Cybersecurity Data Warehouse 52

Astera

SEPTEMBER 28, 2023

ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. With reliable data, you can make strategic moves more confidently, whether it’s optimizing supply chains, tailoring marketing efforts, or enhancing customer experiences. So, the data flows in the opposite direction.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Insight Software

JULY 29, 2020

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse. But does OBIEE stack up? Disadvantages of OBIEE.

Data Warehouse 98

Data Warehouse Supply Chain Finance Visualization 98

Sisense

MARCH 14, 2021

To put it bluntly, the challenge we face is that no cloud architecture yet exists which can accommodate and process this big data tsunami. SkullCandy’s big data journey began by building a data warehouse to aggregate their transaction data, reviews.

Big Data 52

Big Data Supply Chain Data Analytics Data Analytics 52

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52