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

Inflexion Analytics

SEPTEMBER 10, 2023

Retailers used tools like Google Big Query to aggregate customer intelligence gathered in store with customer intelligence data gathered online from customer searches. They then combined it with data from operational and transactional systems to gain a strategic advantage in data quality and completeness.

Retail 52

Retail Supply Chain Innovation Digital 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

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

Astera

JULY 20, 2023

Improved Connectivity: EDI mapping simplifies business communications by enabling the use of standardized data formats like flat-file formats for smooth data exchange throughout supply chains.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Astera

OCTOBER 24, 2023

Data scientists commit nearly 80% of their time to data preparation, but only 3% of company data fulfills basic data quality standards. This highlights the critical importance of investing in data quality and efficient data preparation processes; they form the foundation for successful machine learning projects.

Data Quality 40

Data Quality Supply Chain Healthcare Real-time Data 40

Insight Software

APRIL 9, 2023

Plagued by supply chain disruptions and price inflation, finance teams are at the forefront of organizational efforts to strategize and remain agile in changing circumstances. Data Quality Consistency Data quality and consistency is the foundational challenge.

Finance 52

Finance Supply Chain Predictive Analytics Data Quality 52

Insight Software

JULY 5, 2023

Supply chain constraints Unpredictable supply chains in recent years have necessitated keeping a closer eye on business fundamentals while highlighting the importance of staying ahead of inventory management. Many organizations have set digitization goals but lack the tech talent to push through their transformation.

Finance 52

Finance Supply Chain Planning Data Quality 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

Actian

JULY 9, 2019

There has been much talk recently about the technical implications of leveraging SaaS solutions and the benefits of integrating data across supply-chain networks. Integration is great, but it raises a new set of issues about data quality, security and governance companies must now address.

Supply Chain 40

Supply Chain Digital Transformation Government Documentation 40

Astera

OCTOBER 25, 2023

filter, sort, cleanse, or aggregate data). Benefits of Data Transformation Data serves various purposes for organizations and businesses, from analyzing supply chains, customer behaviors, and internal processes to creating automated data-driven workflows. Apply the transformation (i.e.,

Data Quality 52

Data Quality Supply Chain Healthcare Planning 52

Astera

OCTOBER 11, 2023

This ensures that data preparation is laser-focused, aligning every subsequent step with the ultimate goal. Whether it’s optimizing supply chains, predicting customer behavior, or enhancing marketing strategies, a well-defined goal serves as a compass, guiding the course of data preparation endeavors.

Supply Chain 52

Supply Chain Documentation Data Quality Business Intelligence 52

Astera

MAY 4, 2023

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Sisense

OCTOBER 15, 2020

Every data professional knows that ensuring data quality is vital to producing usable query results. Streaming data can be extra challenging in this regard, as it tends to be “dirty,” with new fields that are added without warning and frequent mistakes in the data collection process.

Supply Chain 98

Supply Chain Cloud Computing Data Quality Data Analytics 98

Astera

APRIL 3, 2024

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

MAY 13, 2024

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Supply Chain: Optimizing distribution and inventory levels by studying customer, route, and warehouse/storage facility details.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

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

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

DECEMBER 21, 2022

Interestingly, even though multiple employees may be accessing the data warehouse simultaneously, data integrity is maintained in modern data warehouses so that organizations never have to worry about compromising their data quality for accessibility. Scalability and Elasticity.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

MAY 14, 2024

, “Who created the data?” Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data provenance is what adds depth to this trail. and “Why was it created?

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

Astera

MAY 6, 2024

Data mining tools help organizations solve problems, predict trends, mitigate risks, reduce costs, and discover new opportunities. Process Optimization: Data mining tools help identify bottlenecks, inefficiencies, and gaps in business processes. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MAY 26, 2023

They pull out the necessary data—ofttimes manually entering it into enterprise databases—and process payments accordingly. How did the retailer circumvent this challenge? With AI-driven data extraction in place, invoice processing has become nearly self-serving.

Retail 40

Retail Supply Chain Finance Data Quality 40

Astera

MAY 30, 2024

For instance, predictive analytics can anticipate demand surges, enabling businesses to dynamically adjust their supply chains. 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.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 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 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

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

Tableau

APRIL 6, 2022

SDOH data is an absolute necessity for the effective analysis of potential health inequities and associated mitigation strategies. Healthcare organizations are also working to mature their data quality and management solutions to ensure they have fully integrated, high-quality, trusted, accurate, complete, and standardized SDOH data.

Healthcare 97

Healthcare Supply Chain Real-time Data Government 97

Tableau

APRIL 6, 2022

SDOH data is an absolute necessity for the effective analysis of potential health inequities and associated mitigation strategies. Healthcare organizations are also working to mature their data quality and management solutions to ensure they have fully integrated, high-quality, trusted, accurate, complete, and standardized SDOH data.

Healthcare 93

Healthcare Supply Chain Real-time Data Government 93

Astera

MAY 24, 2023

SFS aims to extract specific fields from these purchase orders and store the data in a database for further analysis, such as evaluating vendor performance, identifying cost-saving opportunities, and optimizing supply chain management.

Supply Chain 52

Supply Chain Documentation Logistics Data Quality 52

Astera

APRIL 7, 2023

Efficient information flow: Provides a complete picture of the data flowing within an enterprise. This is accomplished by applying the right data governance policies and procedures such as data integration to build a single source of truth.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Efficient information flow: Provides a complete picture of the data flowing within an enterprise. This is accomplished by applying the right data governance policies and procedures such as data integration to build a single source of truth.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 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.

Data Warehouse 52

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

Astera

NOVEMBER 13, 2023

The architecture of an EDW ensures high data integrity, reliability, and accessibility. It supports a wide range of business applications, including customer relationship management (CRM), supply chain management, and financial management. This schema is particularly useful for data warehouses with substantial data volumes.

Data Warehouse 52

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

Insight Software

MARCH 4, 2020

Now it is time to look at some data management best practices. How to Keep Track of Your KPI Data. Quality control and process management are not the most exciting things going on at a manufacturing company, but they are the backbone of the operation. Scrap Rate – This is a fairly straightforward manufacturing KPI.

Supply Chain 80

Supply Chain Monitoring Finance Data Quality 80

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Insight Software

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

Data Quality 98

Data Quality IBM Maintenance IBM Support Finance 98

Insight Software

MAY 6, 2024

However, if your team is accustomed to traditional methods they might hesitate to embrace SAP IBP’s AI-powered data anomaly detection for a few reasons. Firstly, there’s a potential fear of the unknown – relying on AI for such a critical task as data quality can feel like a leap of faith.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain Finance 52