This blog post lists out some of the core concepts of Data Quality assessment, perception changes in data quality, data quality management over the years, use of data quality tools to parse, standardize and cleanse data.
What is Quality Information?
There has been a change in the conventional focus on data usage with regard
Inter and Intra business communications turn out to be perpetually mind boggling, the need to successfully manage time and assets winds up the key. All things considered, and coupled with huge interest in infrastructure and service, the interest for project management (PM) aptitude in Africa has expanded significantly over a wide assortment of Industries. Africa is a market of middle class consumers which is expected to reach 1.1 Billion by 2060 and will need to cater for maintaining the
In a connected world, data should travel fast, in fact on a real-time fashion, to serve the purpose – enabling business to thrive. Data that is not available in time impacts business. Events that matter to business, that effects critical data changes, should orchestrate data changed sync up with connected systems that are the backbone of the business.
Statistics show that 200 businesses change addresses, 150 business telephone numbers will change or be disconnected, 5 Supplier/Vendor will go through rebranding
The move to the cloud is fully in force, and therefore the variety of organizations’ integrated knowledge in hybrid environments has multiplied two-fold. Nearly three-quarters of respondents’ integrated knowledge in hybrid and cloud environments claimed poor knowledge quality in cloud services, restricted API access, company security and compliance policies as being among the key problems in implementations. The largest issue among all was an absence of data and skills contained inside their organization’s IT departments on the way to
Most organizations are either starting or have already started on their Big Data journey. As most other technology hypes, Big Data has also followed the hype cycle and there was a drop in interest in past years after the initial frenzy. What we are seeing now is the second round of influx in interest around Big Data after the initial peak some years back. With increasing maturity in Big Data products and business use cases, we are inclined to
Big Data has empowered organizations to inspect substantial volumes of structured and unstructured data. Big Data augments decision making, by delivering data and conclusions from the projected valuable information. Organizations are presently in a situation to consolidate their data with the acquired large data sets such as geospatial data. Client sentiments can be observed and changes in client conclusions can be effectively distinguished through the scouring of online information.
Data is an asset and becomes a liability when you
This blog touches upon the basics of Informatica MDM Fuzzy Matching.
Informatica MDM – SDP approach
A master data management (MDM) system is installed so that the core data of an organization is secure, is accessible by multiple systems as and when required and does not have multiple copies floating in the system, in order to have a single source of truth. A solid Suspect Duplicate Process is required in order to achieve the 360 degree view of an entity.
Data Quality – Overview
Data Quality is the process of understanding the quality of data attributes such as data types, data pattern, existing values, and so on. Data quality is also about capturing the score of an attribute based on some specific constraints. For example, get the count of records for which the attribute value is NULL, or find the count of records for which a date attribute does not fit into the specified Date Pattern.
Managing your Data Quality
In today’s world DATA is ubiquitous and critical to the business which eventually increases the need for integration across different platforms like Cloud, Web Service etc. When it comes to Data Integration, business needs effective communication between their software systems and ETL tool to fulfill their needs.
This blog post explains what a REST Web Service is, how you can create a Power Center workflow, use REST based method to access the web services via HTTP Transformation.
Data Warehousing has been the buzzword for the past two or three decades and big data is the new trend in technology. A question that often arises in our mind is, “Are they similar and will Big Data replace a Data Warehouse”, the reason being, both have similarities like holding data, used for reporting purposes and managed by electronic storage devices. There is an underlying difference between the two, namely; Big Data Solution is a technology whereas Data Warehousing