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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Visma e-conomic having other systems like e-commerce, payment service providers, point of sale, marketplaces, logistic and accounting systems. It generally offers businesses with a range of software solutions, including an online accounting program. After all, Visma e-conomic is the market leader in cloud-based financial systems in Denmark and has over 160,000 customers. Visma e-conomic is one kinds of e-commerce market place that is aimed at both small and medium-sized businesses and accountants and bookkeepers.
Visma E-conomic's API provides access to a wide range of data related to accounting and financial management. The following are the categories of data that can be accessed through the API:
1. Customers and Suppliers: Information about customers and suppliers, including contact details, payment terms, and credit limits.
2. Invoices: Details of invoices issued and received, including invoice numbers, dates, amounts, and payment status.
3. Products and Services: Information about products and services offered by the business, including prices, descriptions, and stock levels.
4. Bank Transactions: Details of bank transactions, including deposits, withdrawals, and transfers.
5. Accounting Journals: Information about accounting journals, including general ledger entries, accounts payable, and accounts receivable.
6. VAT: Details of VAT transactions, including VAT rates, amounts, and tax codes.
7. Reports: Access to a range of financial reports, including balance sheets, income statements, and cash flow statements.
Overall, the Visma E-conomic API provides comprehensive access to financial data, enabling businesses to streamline their accounting processes and gain valuable insights into their financial performance.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
