Data mining is the fundamental of data analysis that focuses on statistical modeling and knowledge discovery for predictive purposes, it can be divided into descriptive statistics, exploratory data analysis (discovering new features), and confirmatory data analysis (confirming or falsifying existing hypotheses). At the same time, data analysis is a process of inspecting, cleansing, transforming, and modeling data to discover useful information and draw conclusions to support decision-making with a summary in the dashboard.
PMC focuses on business intelligence that covers data analysis in aggregation and business information to perform predictive analytics in forecasting quantitative measurements and KPIs. Predictive analytics is commonly used to focus on the application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data.
PMC offers data management programs to segregate clients' pools of data and examine what data are useful in reflecting clients' business, which can further elaborate to conduct predictive analytics and estimate future trends. Effective data management can help companies stay competitive when demand changes or implement new changes, unlock the potential of existing information, focus on beneficial business outcomes, improve business efficiency, and minimize risk to optimize productivity. All conclusive results can be expressed in infographics or dashboard format, giving clients an overall picture of what their data is about.
PMC believes infographics are the best way to visualize information, data, or knowledge that is intended to present information quickly and clearly, especially to stakeholders. Which can improve cognition by utilizing graphics to enhance the human visual system's ability to see patterns and trends, similar pursuits are information visualization, data visualization, statistical graphics, information design, maps, time series, hierarchies, networks, or information architecture to replace long-winded verbal description of data sets.
In Industry 4.0 and the Web 3 era, organizations must proactively anticipate market needs that include delivering relevant products with personalized service to optimize and improve operational efficiency, not to mention mitigating risk and fraud. Data management allows companies to generate more traffic in SEO and makes it easier to connect with the target audience with consistent monitoring of data trends and present in infographics that help to build insights from different types of content to become more attractive and interesting to maintain high attention span or even share in social media platforms for some astonishing results which help with Google's "Page Rank" algorithm, which is important for SEO.
PMC believes data management leads to high credibility when promoting brand awareness when it comes along with effective communication and increment better decision making. When data management establishes relevant interactions across all touch points will improve internal communications and deliverables to maximize operation efficiency.