GAVS Technology

NOVEMBER 8, 2024

Role of Data Quality in Business Strategy The critical importance of data quality cannot be overstated, as it plays a pivotal role in shaping digital strategy and product delivery. Synthetic data must also be cautiously approached in the manufacturing sector, particularly under strict Good Manufacturing Practices (GMP).

Supply Chain 40

Supply Chain Data Governance Cybersecurity Government 40

Astera

MAY 13, 2024

Besides being relevant, your data must be complete, up-to-date, and accurate. Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Data Pine

JANUARY 21, 2020

Another business intelligence report sample can be applied to logistics, one of the sectors that can make the most out of business intelligence and analytics , therefore, easily track shipments, returns, sizes or weights, just to name a few. Enhanced data quality. Enhanced data quality. It doesn’t stop here.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Visualization 103

Astera

APRIL 10, 2023

In fact, it is estimated that 90% of the data that exists today was generated in the past several years alone. The world of big data can unravel countless possibilities. However, with monumental volumes of data come significant challenges, making big data integration essential in data management solutions.

Big Data 52

Big Data IBM Maintenance IBM cost Data Quality 52

Astera

MAY 24, 2023

This feature allows extracting data from purchase orders and invoices with varying layouts without hassle. Use Case: Automating Purchase Order Data Extraction with Astera ReportMiner Let’s consider a use case. SFS) is a logistics company that must manage a daily influx of purchase orders from various vendors received via email.

Supply Chain 52

Supply Chain Documentation Logistics Data Quality 52

Astera

JULY 10, 2023

In the realm of logistics and postal services, efficiency and streamlined processes mean everything. Therefore, SwiftPost, a leading private postal service provider, sought to improve its shipping operations by deploying an automated data extraction solution.

Logistics 40

Logistics Documentation Data Quality Agile 40

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

JUNE 5, 2024

This streaming data is ingested through efficient data transfer protocols and connectors. Stream Processing Stream processing layers transform the incoming data into a usable state through data validation, cleaning, normalization, data quality checks, and transformations.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

Business Analysts

AUGUST 7, 2024

This ensures alignment and buy-in from all levels Data Governance is Key: Ensure robust data governance practices to maintain data quality and trust in the outcomes generated by AI models. Involve Stakeholders: Actively involve key stakeholders from across the organisation throughout the hyperautomation process.

Business Analysis 52

Business Analysis Business Analysis Artificial Intelligence 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 quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

JUNE 14, 2023

Data Validation and Verification: Post extraction, the data is validated and verified to ensure accuracy and consistency by comparing the extracted data against pre-defined validation rules and performing data quality checks. All of this can be accelerated with automated document data extraction.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

AUGUST 5, 2024

Key Benefits of Business Analytics Business analytics offers significant advantages to organizations across various industries, including retail, technology, healthcare, and logistics. For example, UPS (United Parcel Service) has integrated analytics to transform its traditional logistics processes into a more flexible and agile approach.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

DECEMBER 7, 2023

Logistics and Supply Chain Management Batch processing helps optimize logistics operations by analyzing supply chain data. It supports the regular update of inventory data, allowing organizations to reconcile stock levels, identify discrepancies, and adjust inventory records in a controlled and efficient manner.

Supply Chain 52

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

Astera

DECEMBER 7, 2023

Logistics and Supply Chain Management Batch processing helps optimize logistics operations by analyzing supply chain data. It supports the regular update of inventory data, allowing organizations to reconcile stock levels, identify discrepancies, and adjust inventory records in a controlled and efficient manner.

Supply Chain 52

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

Astera

AUGUST 27, 2024

From retail and manufacturing to logistics and healthcare, electronic data interchange (EDI) streamlines the exchange of information by reducing paperwork, cutting costs, and improving accuracy. Support for EDI parsing enables healthcare facilities to leverage the data contained within EDI documents.

Healthcare 52

Healthcare Documentation Government Logistics 52

Data Pine

MAY 31, 2022

This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. When organizations scale or expand their intangible IT ecosystems, one of the biggest problems with cloud computing from a logistical standpoint is moving from one provider or platform to another.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

The BAWorld

MAY 14, 2024

Data profiling in data analytics is a proactive approach to examining the transformed data, analysing it from various angles and creating useful summaries & trends around the data. The profiled information can be used to reduce small issues in data that may cause big problems in future.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

Astera

FEBRUARY 19, 2024

For example, intelligent form extraction can structure the data extracted from a contract into a table that shows the parties, terms, dates, and amounts involved. Intelligent form data extraction employs AI to enhance data quality. It can also add metadata, such as the source, format, and location of the contract.

Supply Chain 40

Supply Chain Documentation Banking Healthcare 40

Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

MAY 30, 2024

Variety : Data comes in all formats – from structured, numeric data in traditional databases to emails, unstructured text documents, videos, audio, financial transactions, and stock ticker data. Veracity: The uncertainty and reliability of data. Veracity addresses the trustworthiness and integrity of the data.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

AUGUST 29, 2022

Topics covered here range from backtesting and benchmarking approaches to data quality issues, software tools, and model documentation practices. Designed to be an accessible resource, this essential big data book does not include exhaustive coverage of all analytical techniques.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Domo

MAY 31, 2021

They recognize that by giving users data-exploration capabilities, companies can achieve: Improved data quality/accuracy for decision-making Increased confidence in data security and compliance Greater efficiency Broader data access Improved ability to collaborate.

Logistics 98

Logistics Pharmaceutical Government Customer Experience 98

Data Pine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”.

Business Intelligence 85

Business Intelligence Business Intelligence Data Analytics Data Analytics 85

Insight Software

JANUARY 13, 2023

At your company, teams are likely already experiencing the headaches caused by delays with logistics, shipments, and stock levels. Alignment between customer service, logistics, sourcing/procurement, fulfillment, and planning is important but complex because of siloed departments and teams. Analyze your OTIF.

Supply Chain 52

Supply Chain IBM Support IBM Maintenance IBM Expert 52