Data Cleansing

Data in the Real World Is Dirty: Lots of potentially incorrect data, e.g., instrument faulty, human or computer error, and transmission error such as:

-Incomplete; Noisy with errors, or outliers; Inconsistent, or duplicated.

Reference: Symbios Digital.

Data mining

If not analyzed your data is going to get wasted. Making sense of huge amounts of data which we collect every day. Extracting patterns, data streaming, Data modeling, creating dashboards, detecting anomalies, creating alarms, and automating decision making…etc. is the scope of data mining”

Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions. Data mining is a key part of data analytics overall and one of the core disciplines in data science, which uses advanced analytics techniques to find useful information in data sets. At a more granular level, data mining is a step in the knowledge discovery in databases (KDD) process, a data science methodology for gathering, processing, and analyzing data. Data mining and KDD are sometimes referred to interchangeably, but they're more commonly seen as distinct things.

Reference: Stedman, C., & Hughes, A. (2021, September 7). What is data mining? SearchBusinessAnalytics. Retrieved November 3, 2022, from https://www.techtarget.com/searchbusinessanalytics/definition/data-mining

Data Mining Techniques

Association Rule.
Clustering.
Classification.
Regression.
Anomaly Detection.

Digital Experience Strategy

Digital experience strategy isn’t an IT-driven initiative; it’s a customer-needs driven initiative. There’s a massive difference between simply using digital technology and leveraging it to improve customer experiences and better fulfil customer needs.

Reference: What is a digital experience? Liferay. (2020, August 5). Retrieved November 3, 2022, from https://www.liferay.com/resources/l/digital-experience

Digital Commerce

Digital commerce is the end-to-end process of selling goods and services through digital channels. The term encompasses not only the transactions that happen online but also everything that happens before and after. This includes processes like customer research and marketing, data analytics, and even logistics.

Digital commerce vs. e-commerce

Ecommerce is the selling of goods and services online, usually through a website set up and dedicated to those transactions—a customer purchases a product on a website and the website ships that product. Ecommerce is just one part of the customer buying journey, and therefore one part of the entire world of digital commerce.

Digital commerce includes all the processes and technologies that contribute to a customer’s movement down the marketing funnel, from acquisition to retention. Think SEO optimization to help an ecommerce site rank on Google, retargeted advertising to market products to users after they’ve visited (and left) your website, payment technologies, and the logistical engineering that gets a product from the warehouse to the customer’s house faster and more efficiently.

Digital commerce also encompasses the next generation of ecommerce, expanding the customer journey and buying experience beyond the click to purchase and into the world of augmented reality (AR) shopping, digital shopping assistants, and more.

Reference: What is Digital Commerce? Learn How Digital Commerce Works. Shopify. (2022, April 20). Retrieved November 3, 2022, from https://www.shopify.com/blog/digital-commerce