Data Analysis, Interpretation, and Presentation: A Rundown of Data Analytics for SME Managers Workshop
A two-day training last June 26-27, 2018 was held at the UP-ISSI exclusively for staff and program managers. Data Analytics Training for UP Institute for Small-Scale Industries was conducted by Dr. Ed Canela, a precursor to UP ISSI program course for Data Analytics for SME Managers Workshop.
The workshop was presented by means of handouts depository (digital handouts and datasets.) Several analytical tools were introduced and established its usability. Most of these tools generate data collection, large data surveys, statistics, econometric tool for download and data storage.
Data analytics is the practice of iterative, methodical exploration of an organization’s data with emphasis on cleaning, integrating, analysis, visualization, and storytelling. It is a pre-requisite to data-driven organizations. Data analytics is often utilized to improve performance.
Data Science. We are on the phase of digital transformation, the state of concentration are directed to startups, innovators, change-makers and digital natives. Data science are influence by the following factors: statistics, mathematics, pattern recognition, data mining, machine learning, artificial intelligence, neural networks, data visualization, hypothesis testing, data modeling, big data solution engineering, exploratory data analytics, and modeling and prescriptive analytics.
The transformation framework usually staged as:
Data – Info – Knowledge – Insights – Wisdom
These innovators digs an old data (commonly called “data forensics) and converts it into data sets for comprehensive data problem solving among real generations (new entrepreneurs).
Data Science works together with problem solving, topical analytical techniques, domain expertise, business analysis, stakeholder management, storytelling ability, business communication, and consulting.
Digital transformation approach gives emphasis on change (management), creative (practices), and design (thinking).
Big Data with 8 V’s. A data is made up of:
Volume – can you find the information you are looking for
Value – can you find it when you most need it
Veracity – are you dealing with information or disinformation
Visualization – can you make sense at a glance? Does it trigger a decision?
Variety – is a picture worth a thousand words in 70 languages? Is your information balanced?
Velocity – information gains momentum and crises and opportunities evolve in real time.
Viscosity – does it stick with you? Does it call for action
Virality – does it convey a message that can be pasted into a presentation or instagrammed?
Big data are typified into three groups: structured, unstructured, and multi-structured/hybrid. The details of these information can be accessed through the program course.
“Every analytics journey starts with a relevant business question or problem.”
Digital Marketing. The sub-categories of digital marketing includes: branding, social media, content marketing , email marketing, video production, seo, web design, sem, and app development.
Statistical Analysis. Starts with data collection, the data analysis and data interpretation, and conclusion which is exhibit by report writing. Statistical packages are available through the program course. They are in premium and free versions.
Operational Analysis. These raw data are leverage by machine data which includes anything from IT machines, sensors, meters, and GPS devices. Existing data enables a new generation of applications that are able to analyze ad gain insight from large volumes of multi-structured data, which in turn improves the business results. The industries covered with it are: Trends, Manufacturing 4.0, Dematerialization, Circular Economy, Green Economy, Telecommuting, Integrated Value Chains, and Services and Digital Products.
HR Analytics. Is the systematic identification and quantification of the people drivers of business outcomes. It is dissect by Pattern Analysis, Predictive Analysis, and data-driven decision making. Again, the complete details of these information can be accessed through the program course.
Financial Analytics. This will provide SMEs with step-by-step advice on the digital technologies to use at ease stage of their growth by sectors. It involves Industry Digital Guide- understand where you are on the digitalization roadmap, Pre-aproved Digital Solutions / Digital Advisory and Consultancy – gain access to digital technology and advisory services, Project to Uplift Whole Sectors – enjoy new growth through partnering large companies and industry leaders, and Skills Framework – raise employee’s digital skills. Smart SMEs processes includes: financial access, marketing, innovation and productivity, infrastructure , and entrepreneurship.
Why do we analyze data?
Who is Ed Canela?
Dr. Eduardo Canela is an International consultant on capacity development, HRD OD, advance manufacturing technologies, social network analysis, systems dynamics, knowledge management, big data, and project management. He has more than 35 years in actual consulting, training, design, implementation, monitoring and evaluation of capacity development initiatives in various development and institutional agencies. He is a co-creator of the world-class CEFE (Competency-based Economies via Formation of Entrepreneurs) training method, now applied in 140 countries by the German Agency for International Cooperation. Ed is an avid writer, web-administrator, and e- Learning curator who speaks seven languages. He has worked in more than sixty five countries in Asia and Pacific, Africa, the Middle East, Europe, US and Central Asia in various capacities (e.g., project formulator, adviser, manager and implementer, monitor, trainer or moderator and evaluator or appraiser).
He is currently a senior international consultant of EDC for Laos and the Mekong Region, DTI and GIZ’s GrenOvation and Trustee of SERDEF and Asian Social Economy Council. He loves to work on digital organizations, advance manufacturing, and 3D printing and prototyping technology. He co-founded UmakeX, a StartUp 3D printing machine in Manila. He also teaches in the University of South New Hampshire (USA), Mekong Institute in Thailand and the International Training Institute (ILO-Turin) in Italy via distance learning.
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