«The bottomline: Enterprises must stop wasting money and time on unactionable analytics. These efforts don’t matter if the resulting analytics don’t lead to better insights and choices which can be specifically linked to measurable business outcomes.»- What Precisely the Heck Are Prescriptive Analytics? by Mike Gualtieri, Vice President, Principal Analyst, Forrester
David: In my view, China may be ready to move sooner in leveraging semiconductor data analytics that the general semiconductor business. Plenty of IC design firms in China are relatively younger, which implies that they are also more likely to take advantage of the latest knowledge evaluation techniques, and do not should face the issues of the way to deal with older or legacy systems, which many giant, traditional semiconductor companies may expertise.
Populating information into desired output formats like CSV, MS Excel, MS Access, and MS Phrase and so forth.
Checking product particulars and updates like prices, rate comparisons, product listings, product descriptions and product availability, product pictures and product catalogs and feeding them onto a content management system or an internet portal.
Gathering financial information, identifying patterns, correlations and expectant future traits, analyzing competitor standings, locating dependency networks, evaluating market adjustments, constructing product catalogs and generating potential gross sales leads.
Establishing the relationship between inner (worth, product positioning) and external (buyer demographics, competitor analysis) components.
Creating mailing lists for advertising campaigns and ads.
Clustering info, creating data repositories and combining multiple databases to make a data warehouse.
Knowledge processing utilizing statistical tools such as SAS and SPSS.