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Finance teams use forecasts and projections every day, and the two terms get swapped so often that even experienced controllers lose track of which is which. The distinction is not academic; auditors, lenders, and the SEC treat them differently, and using the wrong...
Self-service reporting is the practice of letting business users build, modify, and run their own reports against curated, governed datasets, without needing IT or a developer to write the query. The user picks the columns, sets the filters, chooses a chart type, and...
An AI data pipeline is a data integration architecture that uses machine learning and automation to ingest, prepare, transform, and deliver data for analytics and downstream AI workloads. It handles the same job a traditional ETL pipeline does, but applies...
A CFO dashboard is a curated, near-real-time view of the financial and operational KPIs that the chief financial officer and finance leadership team rely on to monitor business health and make decisions. It is not a replacement for the general ledger or statutory...
Interactive reporting is a category of business intelligence where the consumer of the report, not the author, controls how the data is viewed. The report ships with built-in controls (filters, parameters, drill paths, sort and group toggles) that let any reader...
Pixel perfect reporting is a discipline of report design where the output is precisely formatted to a fixed visual specification, column widths, page breaks, font sizes, headers, footers, logos, and page numbering are all controlled by the designer rather than the...
A data visualization dashboard is an interactive display that consolidates key metrics, charts, and reports into a single screen for real-time monitoring and analysis. Organizations use data visualization and dashboards to transform raw numbers into visual patterns...
Data modeling and management is the practice of structuring, organizing, and governing data so that business teams can build accurate reports and make informed decisions. Orbit Analytics provides advanced data modeling solutions that identify the objects needed from...
Data discovery made easy Most business reporting needs are ad hoc. Orbit makes it easy for users to create ad hoc reports with data from on premise and cloud applications like Oracle EBS, Salesforce and NetSuite – even Excel files. Combine it all on interactive...
An initial stage of business analytics to summarize historic data. Descriptive Analytics, a preliminary stage of data processing, exemplifies retrospective analysis that drills through the past behaviors and provides an insight into the future outcomes. Descriptive...
Data wrangling is a method of gathering, choosing and transforming data to answer an analytical question. Often referred to as “munging” or data cleaning, data wrangling makes up approximately 80 percent of a data scientist’s time, with the rest devoted to modeling or...
A data warehouse is loaded with data from numerous heterogeneous sources into a central repository for analytics. Data warehouses store multidimensional information in a way that allows analytics to be efficiently performed. Data warehousing helps organizations in...
Finance teams use forecasts and projections every day, and the two terms get swapped so often that even experienced controllers lose track of which is which. The distinction is not academic; auditors, lenders, and the SEC treat them differently, and using the wrong...
Self-service reporting is the practice of letting business users build, modify, and run their own reports against curated, governed datasets, without needing IT or a developer to write the query. The user picks the columns, sets the filters, chooses a chart type, and...
An AI data pipeline is a data integration architecture that uses machine learning and automation to ingest, prepare, transform, and deliver data for analytics and downstream AI workloads. It handles the same job a traditional ETL pipeline does, but applies...
A CFO dashboard is a curated, near-real-time view of the financial and operational KPIs that the chief financial officer and finance leadership team rely on to monitor business health and make decisions. It is not a replacement for the general ledger or statutory...
Interactive reporting is a category of business intelligence where the consumer of the report, not the author, controls how the data is viewed. The report ships with built-in controls (filters, parameters, drill paths, sort and group toggles) that let any reader...
Pixel perfect reporting is a discipline of report design where the output is precisely formatted to a fixed visual specification, column widths, page breaks, font sizes, headers, footers, logos, and page numbering are all controlled by the designer rather than the...
A data visualization dashboard is an interactive display that consolidates key metrics, charts, and reports into a single screen for real-time monitoring and analysis. Organizations use data visualization and dashboards to transform raw numbers into visual patterns...
Data modeling and management is the practice of structuring, organizing, and governing data so that business teams can build accurate reports and make informed decisions. Orbit Analytics provides advanced data modeling solutions that identify the objects needed from...
Data discovery made easy Most business reporting needs are ad hoc. Orbit makes it easy for users to create ad hoc reports with data from on premise and cloud applications like Oracle EBS, Salesforce and NetSuite – even Excel files. Combine it all on interactive...
An initial stage of business analytics to summarize historic data. Descriptive Analytics, a preliminary stage of data processing, exemplifies retrospective analysis that drills through the past behaviors and provides an insight into the future outcomes. Descriptive...
Data wrangling is a method of gathering, choosing and transforming data to answer an analytical question. Often referred to as “munging” or data cleaning, data wrangling makes up approximately 80 percent of a data scientist’s time, with the rest devoted to modeling or...
A data warehouse is loaded with data from numerous heterogeneous sources into a central repository for analytics. Data warehouses store multidimensional information in a way that allows analytics to be efficiently performed. Data warehousing helps organizations in...
