Simple, Intuitive, and Powerful Dashboards Data Visualization: Dashboards Orbit Reporting and Analytics brings all of your data together in real-time and interactive dashboards, so you can gain a clear view of your business – at a glance. View Data from Across Your...
Build the Reports That You Need When You Need Them Data Modeling & Management Orbit’s data modeling functionality achieves highly-tuned queries by identifying the objects needed from multidimensional data relationships. You can build reports as per your business...
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...
Pivot tables and crosstabs are ways to display and analyze sets of data. Both are similar to each other, with pivot tables having just a few added features. Pivot tables and crosstabs present data in tabular format, with rows and columns displaying certain data. This...
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...
A data lake is a centralized repository that offers storage for both structured and unstructured data, regardless of scale, and allows multiple types of analytics to guide business processes. Data lakes contain raw-form data from all data sources, and they support all...
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