Sentiment Analysis Sentiment Analysis is monitoring what consumers are saying about a company’s brands and products and how they are expressing their opinions and sentiments to others has always been important to businesses. Until the last century, businesses typically used surveys and focus groups from …
Data Mining Classification & Prediction Classification Classification involves dividing up objects so that each is assigned to one of a number of mutually exhaustive and exclusive categories known as classes. Many practical decision-making tasks can be formulated as classification problems. customers who are likely to …
Data Visualization Data visualization is the art and practice of gathering, analyzing, and graphically representing empirical information. They are sometimes called information graphics, or even just charts and graphs.The goal of visualizing data is to tell the story in the data.Telling the story is predicated …
ETL ETL is the set of processes by which data is extracted from various sources transformed and loaded into target systems. ETL stands for Extract, Transform and Load. Importance of ETL ETL technology is an important component of a complete enterprise data integration solution and …
SAP Business Objects Universe | Semantic Layer vs universe Semantic layer The semantic layer is an abstraction layer between the database and the business user that frees the business users from needing to know the data structures and technical names. It enables business users to …
Pentaho Data Integration Pentaho Data Integration (PDI) is an extract, transform, and load (ETL) solution that uses an innovative metadata-driven approach. It includes the DI Server, a design tool, three utilities, and several plugins. Pentaho tool is most frequently used in data warehouses environments. PDI …
What is R ? R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. What r can do ? Using R Programming …
Data Preprocessing Data Preprocessing or Dataset preprocessing is a activity which is done to improve the quality of data and to modify data so that it can be better fit for specific data mining technique. Also Read : What is Data Management? Benefits of Data …
Data Mining Issues/Challenges Data Mining Issues : Major Issues and challenges one can face with Data Mining Process are Mining Methodology User Interaction Efficiency and Scalability Diversity of Database Types Society Data Mining Issues/Challenges – Mining Methodology Mining Methodology involves the investigation of new …
Data Mining Data mining (knowledge discovery from data).Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data. Alternative names of data mining : Knowledge discovery (mining) in databases (KDD), knowledge extraction, data/pattern analysis, data archeology, data …
Top 8 Characteristics Of Software Below are the top 8 characteristic of software which makes a software complete.The importance of these quality characteristic cannot be overemphasised. Properties of software Reliability Correctness Performance Usability Interoperability Maintainability Portability Verifiability Reliability A measure of whether a user can depend on …
Master Data Management (MDM) What is Master data ? Master data is a collection of common, core entities along with their attributes and their values—that are considered critical to a company’s business, and that are required for use in two or more systems or …
IBM Cognos Connections | Tutorial Cognos Connections In Cognos accessing of data is done through cognos connections. It is a single interface. Use Cognos Connection to Work with reports Create Shortcuts, URLs, and pages and to organize entries Create and run reports and cubes Schedule …
IBM Cognos Query Studio | Tutorial Query Studio Query Studio is the reporting tool for creating simple queries and reports.In Query Studio, we can view the data create reports change the appearance of reports work with data in a report Creating a Report When a …
SAP Business Objects Information Design Tool Information Design Tool Overview The information design tool is an SAP Business Objects metadata design environment that enables a designer to extract, define, and manipulate metadata from relational and OLAP sources to create and deploy SAP Business Objects universes. …
Star and SnowFlake Schema in Data Warehousing Star Schema The star schema consists of one or more fact tables referencing any number of dimension tables. It is called a star schema because the diagram resembles a star, with points radiating from a center. The center …
Dimension & Dimension table Dimension A dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Commonly used dimensions are people, products, place and time. The dimension is a data set composed of individual, non-overlapping data elements. …
Fact table & Types of fact tables Facts A fact table is the one which consists of the measurements, metrics or facts of business process.These measurable facts are used to know the business value and to forecast the future business. Fact tables are often defined …
Usability testing Usability testing is a technique used to evaluate a product by testing it with representative users. In the test, these users will try to complete typical tasks while observers watch, listen and takes notes. Goal of usability testing is to identify any usability …
Data Modeling A Data model is a conceptual representation of data structures (tables) required for a database A data model visually represents the nature of data, business rules governing the data, and how it will be organized in the database. Data modelers are responsible for …
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