BI reporting & Analytics
BI reporting—preparing, analyzing, and portraying business metrics—is fundamental to every business. This article will walk you through the basics you need to know. BI Reporting is divided into two categories in business intelligence. Managed reporting occurs when a technical employee such as an IT associate or data analyst prepares the data for non-technical users. Ad-hoc reporting in a BI platform allows non-technical users to create reports from scratch or edit pre-existing reports without having to make requests from IT. Reports allow business users to see data trends over time, slice and dice tables to discover relationships between variables. Smart BI tools have features like Natural Language Processing (NLP) so users can query the data using questions without coding. Reports can take various formats: tables, spreadsheets, and PDFs are all common outputs. Visualizations can include charts, graphs, or histograms. Reports can also be customized dashboards accessed through a web browser. With current technology, BI reports can be automated, and run on a pre-determined schedule.
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How BI reporting works
BI reporting tools pull and read data from your company’s data sources, on premises and in the cloud. The reporting tool is able to identify measurements such as sales, revenue, inventory counts, etc. and apply dimensions such as date, purchase order, or customer information to create analyses. Users can choose dimensions and measurements using drag-and-drop functionality to create reports. Your team can create tables, histograms or pie charts depending on the data chosen and create forecasting models. They can also create dashboards with these charts and have them update on a schedule or in near real-time. There are a variety of possibilities and capabilities in BI reporting, and Tableau offers demonstrations and training videos to learn more about how BI reporting works.
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The goal of BI reporting
The goal of BI reporting is to provide data insights to support decision making. However, analysts and IT developers shouldn’t be the only ones with the ability and responsibility to slice data to uncover insights and trends. Company decision-makers need personalized and organized reports in their preferred formats. They should be able to look at the report, understand the data, draw a conclusion, and make informed decisions. Another goal of BI reporting is to eliminate data silos and create a single source of truth. When teams work with the same datasets and use the same platform for analysis, there are no longer multiple versions of the truth. Data analysis is more accurate, takes less time, and decision makers are able to explore and edit their data in one place. However, these goals cannot be accomplished without a BI reporting tool.
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ETL & data migration
- ETL stands for Extract, Transfer, Load. This three-step process takes place when you want to move information from one system into a data warehouse environment.
- During data migration, information is transferred. This transfer could take place in a few ways: between data storage systems, data formats, or computer systems.
How ETL Works
IISPL is one of the leading names offering customized yet cost-efficient ERP software. Keeping your business values and philosophy at the core of our planning and strategy, we create custom ERP solutions that are straightforward, carry low maintenance, and are feature-rich. It helps you consolidate data, manage workflows, facilitate collaboration and streamline your daily business processes through integrations and advanced automation. Furthermore, our custom ERP software offers data migration and scheduled analysis of data duplication, thereby improving data security across the organization.
Extract
During data extraction, raw data is copied or exported from source locations to a staging area. Data management teams can extract data from a variety of data sources, which can be structured or unstructured.
Transform
In the staging area, the raw data undergoes data processing. Here, the data is transformed and consolidated for its intended analytical use case.
Load
In this last step, the transformed data is moved from the staging area into a target data warehouse. Typically, this involves an initial loading of all data, followed by periodic loading of incremental data changes and, less often, full refreshes to erase and replace data in the warehouse. For most organizations that use ETL, the process is automated, well-defined, continuous and batch-driven. Typically, ETL takes place during off-hours when traffic on the source systems and the data warehouse is at its lowest.
Custom ERP Development
IISPL is one of the leading names offering customized yet cost-efficient ERP software. Keeping your business values and philosophy at the core of our planning and strategy, we create custom ERP solutions that are straightforward, carry low maintenance, and are feature-rich. It helps you consolidate data, manage workflows, facilitate collaboration and streamline your daily business processes through integrations and advanced automation. Furthermore, our custom ERP software offers data migration and scheduled analysis of data duplication, thereby improving data security across the organization.
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Functionality and flexibility
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Enhanced data integrity
