Data for Decision Making (D4DM) In the industry 4.0 era, information has become a crucial resource for business and NGOs in order to enhance the organization adaptability as well as achieve their goals. On the contrary, many business and NGOs take decision based on assumption instead of data hence it brings loss to the organization. QED-Research Consulting in collaboration with Transformasi Manajemen Indonesia present Data for Decision Making approach as a solution for our clients to utilize their data and take well-informed strategic decision
D4DM stands for Data for Decision Making. The approach aims to emphasize on utilization of data as basis for decision making hence the decision makers are able to establish better decision.
D4DM can be implemented to different aspect of business such as measuring brand awareness, understanding consumer behaviour, business potential, competitor analysis, social media preference, brand valuation, strategic planning, and operational efficiency. Furthermore, D4DM might help HR professional to manage human resources in a better way such as assessing most significant skills or competence, identify toxic employee, predicting recruitment, calculating regretable loss, and analyzing the predcitor of employee performance.
Besides helping business, D4DM also supports NGOs to produce accurate figures that maintains their credibility from donors perspective. In addition, D4DM might also gives some meaningful insights for NGOs to improve their program. Moreover, D4DM might also help NGOs with sponsors analysis that can enhance NGOs capabilities to understand the behaviour and needs from their sponsors.
QED-Research Consulting and Transformasi Manajemen Indonesia offer several D4DM workshop for your company or organization:
1. HR Analytics
Conducted in 1 day of training, offers a basic understanding of statistics and some practical examples in HR cases
Conducted in 2 days of training, offers intensive application of statistics in HR data . The workshop focused on how statistics can help HR practitioner to assess and manage different issues in HR.
Conducted in 3 days of training, offers understanding of practical research in HR context, advanced statistics, and advanced statistical software.
2. Business Analytic
Conducted in 1 day of training, offers a basic understanding of statistics and some practical examples in business cases.
Conducted in 2 days of training, offers a basic understanding of practical business research in order to help participant conduct proper internal business research.
Conducted in 3 days of training, offers understanding on real-time and automatic data analytic such as data mining in business and machine learning to analyze business data in order to provide real-time and accurate data.
3. NGO
Conducted in 1 day of training, offers a basic concept of statistics as well as some practical examples in NGO cases.
Conducted in 2 days of training, offers a basic understanding of practical social research in monitoring-evaluation context.
Conducted in 3 days of training, offers comprehensive understanding of D4DM in NGO context such as improving program quality, analyzing staff and people, and improving monitoring-evaluation system to enrich well-informed decision.
