Ad Hoc AnalysisWhat is Ad Hoc Analysis?
Ad hoc analysis refers to the process of getting an answer to one single business query at a time. It enables deep analytics where users ask a question and based on the answer they ask the next question, and the cycle continues. Using this, business users can drill ... Read More
Advanced AnalyticsWhat is Advanced Analytics?
It refers to the study or analysis of data using more sophisticated methods and tools rather than traditional BI tools in order to get advanced insights into massive data volumes for improved decision making. These techniques are majorly used to generate deeper ... Read More
Amazon RedshiftWhat is Amazon Redshift?
Amazon Redshift is a popular data warehouse service made for the cloud. Enterprises use it to store their growing business data in order to perform analysis using their existing BI tools and standard SQL.
This cloud data warehouse platform provides business users ... Read More
Amazon S3Amazon S3
Amazon Simple Storage Service (Amazon S3) is an object storage service enabling web-scale computing. It is a scalable, high-speed, web-based cloud storage service designed for data storage and archiving, application hosting for deployment, installation, and management of web apps, ... Read More
AttributesAttributes
Each dimension contains attributes. Each attribute is bound to one or more columns in a dimension table. Attributes can be, and are generally, arranged into user-defined hierarchies that provide the drill-down paths by which users can browse the data in the measure groups to ... Read More
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BI AccelerationBI Acceleration
BI acceleration platform supercharges your existing BI tools to analyze billions or trillions of rows of data with instant response times.
By adding a BI acceleration platform to your enterprise architecture, you can deliver self-service and interactive analysis on massive ... Read More
Big Data AnalyticsBig Data Analytics
Big data is a collection of massive and diverse data sets coming from various data sources, especially new sources covering every aspect and detail of the business. This vast amount of data can be used to solve previously unanswerable business problems. Big data analytics ... Read More
Business IntelligenceBusiness Intelligence
Business Intelligence (BI) is the process or infrastructure that collects, stores, and analyses data from a company's day-to-day operations. It presents easy-to-understand reports that assist users in making better business decisions. It encompasses data mining, process ... Read More
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Caching in Semantic LayerWhat is Caching in Semantic Layer?
Caching refers to storing copies of data in a temporary storage location so that future requests for processing and retrieval of the same data become faster. In the context of a semantic model, the results of frequently queried data are preserved based on ... Read More
Calculated MeasuresCalculated Measures
Calculated Measures are the expressions that operate on aggregations of data defined and are computed at run time to return values based on the current context.
Calculated Measures are evaluated for understanding context-based calculations in real-time. It is evaluated ... Read More
CardinalityCardinality
Cardinality is the term used to define the uniqueness of data values included in a specific column of a database table. Cardinality can refer to two things in databases–
Relationship Cardinality - While designing a database, cardinality is something that can be referred to as ... Read More
Chart DefinitionChart Definition
A chart is a graphical representation intended to organize and represents a set of numerical or qualitative data to make data visualization easier to understand. Charts enable slicing, dicing, and drilling-down of your data so that you can examine it from different ... Read More
Cloud AnalyticsCloud Analytics
In this virtual expanse, data is no longer a static entity confined to silos. Data is a dynamic force that is brimming with insights waiting to be discovered. Cloud analytics plays a pivotal role in driving business innovation as it transcends traditional data management by ... Read More
Cloud BI AccelerationCloud BI Acceleration
Over the years, there has been a massive increase in the amount of data enterprises deal with. This surge in the flow of data has created limitations for the BI and analytical tools making it difficult for them to perform. It takes from minutes to hours to fetch the ... Read More
Cloud Data PlatformCloud Data Platform
Cloud Data Platforms are the modern means of data management. They let users store, access, and analyze enterprise data via the cloud.
As data volumes increase, enterprises find it difficult to store and manage their data securely using the traditional on-premise data ... Read More
Cloud Data WarehouseCloud Data Warehouse
What is a Cloud Data Warehouse?
A cloud data warehouse is a database solution that serves as a central repository of information for analytics, scale, and ease of use and is delivered as a managed service in a public cloud.
Cloud-based data warehouses provide agility ... Read More
Cloud MigrationCloud Migration
Cloud Migration is the process by which organizations move some or all of their data infrastructure, applications, and IT processes from legacy data centers to the cloud. It can also mean the transition organizations undergo while moving from one cloud resource to another. ... Read More
Cloud OLAPCloud OLAP
Cloud OLAP is the modern-day solution to generating interactive, multidimensional analytics on cloud data using BI and analytical tools. With rising data volumes, BI and analytical tools face performance issues while connecting directly to the massive data loads on the cloud. This ... Read More
Customer Journey AnalyticsCustomer Journey Analytics
Customer journey analytics is collecting and analyzing data related to customer behavior so that businesses can improve their experience. This analysis is performed across multiple customer touchpoints and channels to assess the impact of behavior on business ... Read More
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Data DrillingWhat is Data Drill Down and Drill Through?
Business intelligence is all about transforming raw data into actionable insights, leading to better decision-making, improved efficiency and a deeper understanding of their operations. Data is often aggregated in initial reports to simplify ... Read More
Data ArchitectureData Architecture
Over the past decade, businesses have been flooded with an avalanche of data. Some estimates indicate that the total global volume of data is expected to grow to 181 zettabytes by 2025. This data wave has created compelling strategic opportunities for adaptive companies ... Read More
Data CatalogData Catalog
In today's data-driven landscape, businesses are inundated with vast amounts of data from various sources. Effectively managing, analyzing, and deriving insights from this data is critical for making informed decisions and gaining a competitive edge. This is where a data catalog ... Read More
Data CubeData Cube
What is a data cube?
A data cube is a multidimensional representation of data intended to facilitate effortless retrieval and structured analysis of the underlying data. When organized in a cube rather than a network of relational tables, it becomes easier for the user to establish ... Read More
Data-Driven InsightsData-Driven Insights
When insights are derived from data collection, analysis, and interpretation, they are termed as data-driven insights. A data-driven approach enables enterprises with evidence to base their strategies and decision-making on rigorous analysis of their data and not on broad ... Read More
Data FabricData Fabric
What is Data Fabric?
Data fabric is a data architecture approach that automates data management functionalities to offer a unified view of all databases and data assets. It simplifies data access by connecting organizational data and reducing complexities of data storage ... Read More
Data IntegrationWhat is Data Integration?
Data integration is the systematic process of consolidating unstructured and scattered enterprise data into a cohesive framework. This approach is critical for ensuring that the information at the end is accurate and accessible for operational and analytical purposes ... Read More
Data LakehouseData Lakehouse?
A data lakehouse is a data management solution that combines the best features of a data warehouse and data lake to accelerate data processing speeds and perform advanced analytics with cost efficiency.
The scalability and flexibility of the data lake merged with the data ... Read More
Data LineageData Lineage?
Data lineage is the process of understanding, recording and visualizing dataflows through the organization, which includes where the data originated, the transformations it underwent along the way and its current destination at the end of the data pipeline. The data lineage ... Read More
Data MartData mart
Data mart isn't a new concept; it has been around for decades. But as data is growing continually, businesses are challenged by issues like data silos, inadequate data governance and other security concerns. Data silos inhibit seamless access and collaboration, inadequate data ... Read More
Data ModelingWhat is Data Modeling?
Data modeling is the process of defining and analyzing all the different data types and the relationships shared by those data types. It involves the creation of a structured representation of data that enables its physical organization to support analytical queries. ... Read More
Data MonetizationWhat is Data Monetization?
Data represents all information and knowledge that serves as the building block upon which modern businesses operate and evolve. Its monetization is a key strategy to open up new revenue streams and explore innovative opportunities.
Data monetization refers to ... Read More
Data NormalizationWhat is Data Normalization?
Data normalization is the process of reorganizing data into a structure and format that’s consistent throughout the database, which makes it more accessible for users to query and analyze. The storage system of the data is made logical with normalization and this ... Read More
Data ScienceData Science
Data science is a field of study devoted to creating and using tools and techniques to extract information from raw data. In other words, data science makes use of complex machine learning algorithms to make sense of the massive volumes of unstructured data and derive meaningful ... Read More
Data StorytellingData Storytelling
When presented in massive quantities, data can be hard to digest. Therefore, data owners need to create a sequential flow of information while presenting the data. However, tabular data might still not be straightforward enough, requiring assistance from graphical and ... Read More
Data StreamingThe Guide to Data Streaming for Data Professionals
Data streaming is emerging as the secret sauce that drives modern apps and businesses. It is the continuous flow of data generated from various sources for real-time processing and analysis for immediate insight and action. Whether it is ... Read More
Data TransformationWhat is Data Transformation?
Data transformation is the process of modifying the format, structure and presentation of data to make it compatible with a target system. While the primary goal is to ensure usability, effective data transformation also includes actions taken to optimize, cleanse ... Read More
Data VirtualizationWhat is Data Virtualization?
Data virtualization works as an abstraction layer for the organization’s data assets. This involves aggregating data on-demand from various sources including databases, cloud services and other data repositories. Data virtualization reduces the reliance on ... Read More
Data VisualizationData Visualization
Data visualization is the process of representing data in visual form using elements like graphs, maps, charts, infographics, and diagrams. Data visualization makes it easy to understand and analyze massive volumes of data by highlighting the hidden trends, patterns, and ... Read More
Data WarehouseData Warehouse
A data warehouse is a type of data storage and management system that consolidates data from multiple sources in a structured form. A single data warehouse can store data from multiple databases. This central repository of all business data creates a single source of truth ... Read More
Data WranglingWhat is Data Wrangling?
Data wrangling is the process of converting and organizing raw enterprise data into a usable format. It is essential for enhancing the quality and suitability of the data so that it can be consumed for analytics. The process encompasses a variety of crucial tasks that ... Read More
Dax QueriesWhat is DAX?
DAX stands for Data Analytics Expressions, a formula expression and query language designed for working with tabular models and provides specialized syntax for querying and analysis. It is used mainly in Power BI along with Excel Power Pivot and SQL Server Analysis Services ... Read More
Delta LakeWhat is Delta Lake?
Delta lake is considered as a defacto solution by organizations as it addresses all the challenges posed by data lakes and data warehouses, be it scalability, flexibility or governance. It is an open-source storage and management layer that transforms raw data stored in an ... Read More
Dimensions and MeasuresWhat Are Dimensions and Measures?
Dimensions and measures are fundamental concepts that are used to define data fields for analytics. They play a distinctive, yet a complementary role in understanding and interpreting data. Together, they serve as basic building blocks for structuring data ... Read More
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ElasticityElasticity
Elasticity is the ability to dynamically allocate resources to workflows, processes, projects and meet varying demands without bothering about the capacity planning and engineering for peak usage. Elasticity is managed by the system monitoring tools that automatically allot or ... Read More
Enterprise Business IntelligenceEnterprise Business Intelligence
Business Intelligence (BI) is the process that collects, stores and analyzes data from a company’s day-to-day operations. It is akin to a hidden power of businesses, making them intelligent by transforming boring data into intelligent insights and helping ... Read More
ExcelMS Excel
Excel is a part of the Microsoft Office suite used to create worksheets (spreadsheets) and record data in the form of tables.
Businesses use Excel to organize their data into something useful to perform business analysis, reporting, operations management, human resources ... Read More
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Fact TableFact Table
A fact table is a table that contains all the facts, or the business information used in the dimensional model as a central table in a star schema of a data warehouse. Fact table includes fields that outline Facts such as measurements and metrics used for analysis and reporting ... Read More
Financial AnalyticsFinancial Analytics
Financial analytics refers to analyzing large amounts of financial data, predominantly historical facts, and figures. It focuses on cost reduction and profit maximization techniques that help companies draft a power budget for the upcoming year. Such data helps the ... Read More
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Hierarchical Database ModelHierarchical Database Model
In today’s digital age, data is growing at an unprecedented scale. Managing and storing this data effectively is the only way for organizations to stay ahead of the competition. To do that, they need to use database models that provide a structured approach to ... Read More
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KPI SoftwareKPI Software
For the journey to realize organizational goals, Key Performance Indicators (KPIs) serve as guideposts. They are measurable metrics that show how well things are going. Taken from the organization's core values, vision and mission, KPIs connect stakeholders’ aspirations to what ... Read More
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MDX QueriesMDX Queries
Multidimensional Expressions (MDX) bridge the gap between vast data repositories and the meaningful insights businesses seek to extract from them. As one understands its mechanics and applications, it becomes evident that MDX is more than a query language. It is about unlocking a ... Read More
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Online Analytical Processing (OLAP)"Online Analytical Processing" (OLAP)
The term "Online Analytical Processing" (OLAP) is an approach to computing that groups data into multidimensional structures to make it easier for users to access information and analyze the data from various angles. Business users can use it to run ad ... Read More
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Risk AnalyticsRisk Analytics
Risk analytics refers to the techniques that measure and predict risk more accurately. Companies can now leverage the power of their business data due to the rise of big data, enhanced computing capabilities, and advanced analytics. Businesses use artificial intelligence, ... Read More
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Self-Service AnalyticsWhat is Self-Service Analytics?
Earlier, data and reports were restricted by the number of users and the high cost of analytics tools. So, the companies were mindful of providing access to data and reports. However, organizations are now willing to offer democratized access to domain experts ... Read More
Single Source of TruthSingle Source of Truth
When an organization makes data-driven decisions, it might face difficulties when the database systems are organized in silos because not all employees use the same data. To overcome this difficulty, businesses are currently moving toward a single source of truth model. ... Read More
Smart AggregationAggregate/Smart aggregation
Aggregation is the process of summarizing multiple values into a single value. Aggregations can be understood as precalculated summaries of data from leaf cells. Aggregations improve query response time by preparing the answers before the questions are ... Read More
Snowflake SchemaWhat is a Snowflake Schema?
Used in data warehousing, a snowflake schema is a multi-dimensional data model in which dimension tables are further broken down into subdimensions to represent multiple levels of granularity. The snowflake schema can be seen as a step forward from star schemas. As ... Read More
Star SchemaWhat is a Star Schema?
Star schema is a database model created with a central table containing facts and dimensional tables having descriptive details about the data's context. Facts and dimensions are created using foreign keys that define the relationships between these tables. When simple ... Read More
Supply Chain ManagementWhat is Supply Chain Management?
Supply chain management is the effective management of the flow of goods and services that includes procurement of raw material, manufacturing and delivery of the final product or service to the end consumer.
Supply chain management includes supplier ... Read More
