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.
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 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 (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.
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.
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 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.
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.
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.
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 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.
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 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.
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.