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

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

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

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

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

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

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

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

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

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

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 72

Chief Data Officer Supply Chain Government Data Architecture 72

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 70

Chief Data Officer Supply Chain Government Data Architecture 70

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 Warehouse Data Analytics 52

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

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

Insight Software

JANUARY 15, 2021

With the rollout of Microsoft’s Dynamics 365 Business Central (D365 BC) and Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) , the company has moved toward rationalizing its portfolio of business applications, removing redundancy, and shifting to a cloud-first approach for the future.

Data Warehouse 72

Data Warehouse Supply Chain Finance Data Visualization 72

Insight Software

DECEMBER 23, 2020

Microsoft intends Dynamics 365 Finance & Supply Chain (F&SCM) for mid-sized enterprises, while Dynamics 365 Business Central (D365 BC) fits smaller businesses with somewhat simpler requirements. At the same time, you may not want to lose the ability to report against historical data.

Data Warehouse 52

Data Warehouse Supply Chain Finance Data Modelling 52

Actian

FEBRUARY 19, 2019

With increasing competition in the marketplace and shrinking profit margins in many industries, companies are increasing looking for ways to achieve higher levels of business process optimization throughout their supply chain. Many optimization techniques, one common problem.

Real-time Data 40

Real-time Data Supply Chain Data Warehouse Monitoring 40

Actian

JANUARY 7, 2019

Take for example a manufacturing company – commodity prices, government regulations, supply-chain issues and shifting customer demands all impact the price and quantity of products that are produced. None of these provides the agility that modern businesses need.

Real-time Data 40

Real-time Data Agile Supply Chain Data Warehouse 40

Insight Software

DECEMBER 8, 2020

In the case of Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) , for example, Microsoft has implemented an intermediary layer of “data entities” that programmers can use to gain access to the ERP data. Power BI Without the Risk.

Finance 52

Finance Supply Chain Cloud Computing Data Warehouse 52

Insight Software

JANUARY 18, 2021

In the case of Microsoft Dynamics AX, that will mean a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) , which is an evolution of the AX code line. Customers should think that migration to Microsoft D365 F&SCM is a simple upgrade process, though.

Planning 98

Planning E-Commerce Supply Chain Finance 98

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

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 Management Data Analytics Data Analytics 130

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

Insight Software

JANUARY 5, 2021

Most customers running Microsoft Dynamics AX are acutely aware that at some point in the future, they will need to make the leap to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM). Most of all, finance teams need increased visibility to inventory and the supply chain.

Supply Chain 98

Supply Chain Data Warehouse Finance Business Intelligence 98

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

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

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.

Supply Chain 98

Supply Chain Data Warehouse Finance Visualization 98

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 E-Commerce Real-time Data 52

Astera

APRIL 3, 2024

Ensure Only Healthy Data Reaches Your Data Warehouse Learn More What are the components of a data quality framework? Data profiling is one of the most effective ways to ensure that your decisions are based on healthy data, as it helps identify data quality issues before you load data into the data warehouse.

Data Quality 52

Data Quality Data Governance Government Monitoring 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

Actian

JULY 11, 2019

OT is an umbrella term that describes technology components used to support a company’s operations – typically referring to traditional operations activities, such as manufacturing, supply chain, distribution, field service, etc. Why operational technology data management may never be standardized.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40