Data Concepts

Ad hoc Reporting

Ad hoc reporting is a type of reporting that allows organizations to perform reports on the fly. This flexibility can be useful in a number of situations, such as when new data sets become available or when business needs change. Additionally, ad hoc reporting can help organizations save time and money by allowing them to quickly generate reports without having to invest in expensive software or hire outside consultants.

 

Application Data Sharing

Application data sharing is the process of sharing data between applications. This can be done manually, by copying and pasting data from one application to another, or automatically, by using an application programming interface (API).

Artificial Intelligence

Artificial intelligence has the potential to revolutionize data improvement. By automating the process of identifying and correcting errors, AI can help organizations clean up their data more quickly and effectively. Additionally, AI can help organizations keep their data clean by continuously monitoring it for errors and correcting them as they occur

Business Analytics

Business analytics is a process to analyze data with statistical and quantitative and qualitative methods to make decisions that drive better business outcomes. Business analytics can help you understand what your customers want, identify trends, and make better business decisions.

Business Intelligence

Business intelligence (BI) is the process of turning data into insights that business decision-makers can use to improve their strategies and operations. BI software is designed to help organizations collect, store, and analyze their data so that they can make better business decisions.

Business Planning

Business planning is the process of setting goals and creating a roadmap to achieve them. This may involve developing new products or services, expanding into new markets, or increasing operational efficiency.

Business Process Integration

Business process integration, or BPI, is the linking of two or more business processes to create a seamless workflow. By integrating multiple processes, businesses can optimize their efficiency and improve communication between departments.

Business Reporting

Business reporting is the process of conveying information about the performance of a company or organization. This can be done through financial reports, operational reports, or other types of reports.

Data Enrichment

Data enrichment is the process of adding additional information to data that already exists. This can be done for a variety of reasons, but often it is done in order to make the data more useful or easier to work with.

Data Analytics

Analytics is the study, transformation, and analysis of data to discover valuable insights and savings that help you make better decisions. It may be used to assist businesses in a number of areas.

Data Blending

As business analytics gets more sophisticated, the need for data blending becomes more apparent. Data blending is the act of bringing data together from a wide variety of sources into one useful dataset to perform deeper, more complex analyses.

Data Catalog

The data catalog is an integral part of data governance. It helps organizations make the best use of their data assets by providing a centralized repository of information about those assets. The catalog can be used to track where data is stored, who has access to it, and how it is being used.

Data Cleansing 

Data cleansing is an important process for any organization that relies on data to make decisions. By identifying and fixing errors, duplicates, and irrelevant data, data cleansing can help improve the accuracy of your data and make it more useful for decision-making.

Data Exploration

Data exploration is a method for getting to know data before working with it. Large amounts of data are prepared for deeper, more structured analysis using survey and investigation techniques.

Data Fragmentation

Data fragmentation occurs when data is spread out across multiple locations and is not organized in a way that makes it easy to find or use. This can happen for a variety of reasons, such as when data is scattered across different file formats or when it is duplicated in multiple places.

Data Integration

Integration of data is defined as the process of combining data from multiple sources into a single repository. Data integration is often difficult because it can be challenging to identify and cleanse data from different sources that may have different formats, structures, or schemas.

Data Lineage 

Keep track of where an organization's data comes from, how it's moved through the system, and whether it meets regulatory requirements.

Data Platform

A data platform is a system that allows businesses to collect, process, and analyze data. It is important because it helps businesses make better decisions, understand their customers better, and optimize their operations.

Data Preparation

The process of cleaning and consolidating raw data prior to utilizing it for business analysis is known as data preparation. The objective of data preparation is to make sure that the data is clean, consistent, and complete.

Data Profiling

Data profiling is the science of finding, analyzing, and organizing data by noting its features and evaluating its quality. This aids businesses in making better decisions.

Data Streaming

A data platform is a system that allows businesses to collect, process, and analyze data. It is important because it helps businesses make better decisions, understand their customers better, and optimize their operations.

Data Warehouse

In computing, a data warehouse, also known as an enterprise data warehouse, is a system used for reporting and data analysis and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources

Data Wrangling

The process of data wrangling is essential to making sure that your data is clean, accurate, and useful. By transforming and cleansing your data, you can make it more applicable and useful for business decisions. Data wrangling can be a complex and time-consuming process, but is essential.

Descriptive Analytics

Data exploration is a method for getting to know data before working with it. Large amounts of data are prepared for deeper, more structured analysis using survey and investigation techniques.

ETL

ETL is the process of copying, combining, and converting data from several sources and formats before loading it into a new destination such as a data warehouse

eyko Application Intelligence

Application intelligence refers to an application's inherent understanding of blending systems together. We say that software has application intelligence only if it understands how to connect to different systems and knows how data is stored, structured, and relates to other data. It also includes knowledge of undocumented idiosyncrasies or special "features" that only domain experts understand, even if you don't.

eyko Data Smarts

eyko Data smarts allow you clean and transform existing data and create valuable new assets. While applications include capabilities to keep data clean inside each application, data is rarely clean across different applications. Customer name for example is rarely exactly the same across different systems. Getting a clean, reliable dataset is key when you need to join and blend data from multiple systems. eyko’s AI and Machine learning automatically cleans and groups the data into a usable form.

eyko Smart Stream

Streaming is a new way to deliver blended information to any third party application. An eyko Smart Stream goes one step further by being able to detect the capabilities of the application and dynamically shape the data stream to ensure the best possible experience for the end user in the target application.

Fixed Reporting

Fixed reporting is a type of business intelligence often used in areas such as finance, where accurate information is essential for making sound decisions. For example, a company might use fixed reporting to track its financial performance over time. This information can be used to make decisions.

iPaaS

Integration Platform as a Service (iPaaS) is a suite of cloud services enabling development, execution and governance of integration flows connecting any combination of on premises and cloud-based processes, services, applications and data within individual or across multiple organizations.

Machine Learning

Machine learning is a subset of artificial intelligence that deals with the design and development of algorithms that can learn from and make predictions on data.

Sentiment Analysis

Sentiment analysis usually refers to analyzing customer sentiment. This is the process of using natural language processing and machine learning to extract insights from customer feedback.

Spatial Analytics

Spatial analytics can help companies answer questions and develop insights by modeling problems geographically. This approach considers the locations, relationships, attributes, and proximities of data points in order to draw conclusions.

Structured Data

Structured data is a way of representing information in a format that can be easily read and understood by computers. It is often used to store information about products, businesses, or people in a way that makes it easy to find and use.

Transaction-level Detail

Transaction-level detail refers to the data captured at the individual transaction level. This can include information such as the date, time, amount, and type of transaction. This data is useful for understanding individual customer behavior and for identifying trends.

Unified Data

Unified data is a term used to describe data that has been brought together from multiple sources and formatted into a single, consistent format. This ensures that the data can be more easily analyzed and used to make better business decisions.

Unstructured Data

Unstructured data is information that doesn't have a specific format or structure. This makes it difficult to use because it's not easy to organize or search through. Unstructured data can include things like emails, images, videos, and social media posts. While this type of data can be very useful, it can also be challenging to work with.