CASEWARE IDEA PROJECT REFERENCE HOW TO
CASEWARE IDEA PROJECT REFERENCE MANUAL
CASEWARE IDEA PROJECT REFERENCE SOFTWARE

Azure Analysis Services is an enterprise grade analytics as a service that lets you govern, deploy, test, and deliver your BI solution with confidence.Azure Synapse Link for Azure Cosmos DB enables you to run near real-time analytics over operational data in Azure Cosmos DB, without any performance or cost impact on your transactional workload, by using the two analytics engines available from your Azure Synapse workspace: SQL Serverless and Spark Pools.

CASEWARE IDEA PROJECT REFERENCE HOW TO

Learn how to replicate your data across any number of Azure regions and scale your throughput independent from your storage.

Azure Cosmos DB is a globally distributed, multi-model database service.

Azure Synapse Analytics Spark pools is a fast, easy, and collaborative Apache Spark-based analytics platform.

Azure Blob storage is a Massively scalable object storage for any type of unstructured data-images, videos, audio, documents, and more-easily and cost-effectively.

Synapse Pipelines Documentation allows you to create, schedule, and orchestrate your ETL/ELT workflows.

Azure Synapse Analytics is the fast, flexible, and trusted cloud data warehouse that lets you scale, compute, and store elastically and independently, with a massively parallel processing architecture.

Take the insights from Apache Spark pools to Cosmos DB to make them accessible through web and mobile apps.

Apply Apache Spark pool and Synapse Pipelines in Azure Synapse Analytics to access and move data at scale.

NET, with notebook experiences in Apache Spark pool.

Use scalable machine learning/deep learning techniques, to derive deeper insights from this data using Python, Scala, or.

Use Apache Spark pools to clean and transform the structureless datasets and combine them with structured data from operational databases or data warehouses.

Bring together all your structured, unstructured, and semi-structured data (logs, files, and media) using Synapse Pipelines to Azure Data Lake Storage.

ArchitectureДownload an SVG of this architecture. This solution allows you to combine any data at any scale, and to build and deploy custom machine learning models at scale. Transform your data into actionable insights using the best-in-class machine learning tools. These gaps were noted by analysing DRLвЂ™s SAP data.If you'd like to see us expand this article with more information, such as potential use cases, alternative services, implementation considerations, or pricing guidance, let us know with GitHub Feedback! The data analysis solution has been able to assist in finding gaps like:ДЄ) incorrect tax conditions in purchase orders on vendors resulting in excess payment Д«) compliance to the Marketing policy and field force claims Д¬) short availment of input credit on purchases More regular and higher level of assurance is being provided to the Management & Audit Committee of the Board.ДRL now has the ability to increase the scope of their audits (without having limitation on the number of samples) to provide higher level of assurance on voluminous areas such as sales, procurement, inventory management, operating expenses. They are now able to execute corrective action plans, aiding in overall quality improvement. Further it was supported by detailed root cause analysis for control breakdowns within their systems. This has enabled the organization to identify non-compliant business transactions, cost savings opportunities and red flags of fraud risks quickly.

Multiple cycles of review were implemented in those areas depending on the risks involved and controls in place. Also, there were many customer references in their geographic region that spoke highly of the customer service and support offered by CaseWare Analytics and their regional partner Sama Audit Systems & Software.ДRL Internal Audit team carved out a dedicated team for periodic review of identified areas.

CASEWARE IDEA PROJECT REFERENCE SOFTWARE

SolutionДRL chose IDEA Data Analysis software as they found the technology and product suite to be more compelling and easier to use than competing products. DRL sought a solution that would be easy for multiple members of the team to learn and conduct analysis as opposed to having a sole dedicated expert. By implementing a robust data analysis tool, DRL wanted to enhance their auditing capabilities in the following areas: accounts payables, payroll, accounts receivables, inventory management, operating and travel expenses, and IT security logs.

CASEWARE IDEA PROJECT REFERENCE MANUAL

Previously, audits were conducted biennially and predominantly based on manual sampling methods. The DRL Internal Audit team was looking to improve their quality assurance and audit frequency.

Caseware idea project reference