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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...
Data security means protecting data in a database, personal computer or network from unauthorized users. In general, data can range from personal files to any corporate analytics information. Though some information is intended for general use, there might be some...
Data science uses scientific methods, algorithms, processes and systems to gain insights from data. The end result of their methods are usually charts or other visualizations that reveal trends and produce insights to inform the decision-making process and thus help...
Data Mining is the process of uncovering hidden information or patterns from large data sets. Data is extracted from large databases using statistics, artificial intelligence, decision trees, machine learning, etc. The primary goal of the data mining process is to...
A crosstab (short for cross tabulation) is a table that summarizes the relationship between two or more categorical variables. Each row represents one variable, each column represents another, and the cells display aggregated values such as counts, sums, or averages....
A process of combining heterogeneous data from multiple sources. Data Mashing is the process of integrating business-related heterogeneous and application data from numerous sources to give a more unified view from a “big picture” perspective. Usually, mashing is a...
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...
Data security means protecting data in a database, personal computer or network from unauthorized users. In general, data can range from personal files to any corporate analytics information. Though some information is intended for general use, there might be some...
Data science uses scientific methods, algorithms, processes and systems to gain insights from data. The end result of their methods are usually charts or other visualizations that reveal trends and produce insights to inform the decision-making process and thus help...
Data Mining is the process of uncovering hidden information or patterns from large data sets. Data is extracted from large databases using statistics, artificial intelligence, decision trees, machine learning, etc. The primary goal of the data mining process is to...
A crosstab (short for cross tabulation) is a table that summarizes the relationship between two or more categorical variables. Each row represents one variable, each column represents another, and the cells display aggregated values such as counts, sums, or averages....
A process of combining heterogeneous data from multiple sources. Data Mashing is the process of integrating business-related heterogeneous and application data from numerous sources to give a more unified view from a “big picture” perspective. Usually, mashing is a...
