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ssinghal

Sparks Nov'13
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Everything posted by ssinghal

  1. Hi Abhinav, Thankyou for your interest in the article. Below i have tried to answer your query regarding the challenges faced while implementing DDDM. 1. Accuracy of data used for D3M 2. Performance of data analytics algorithms 3. Data filtering so as to feed relevant data only in the system 4. Availability of data online and to the right people 5. User friendliness of the system All these are the factors that need consideration for a sound D3M mechanism in place. If not, then benefits of D3M would be negated. Thanks.
  2. Thankyou so much for appreciating the submission.
  3. Thankyou for appreciating the submission.
  4. Hi Gopala, Thanks for appreciating the submission. I would try and write mores such informative articles.
  5. Hi Harneet, Thankyou for sharing your views about the article.
  6. Hi Sonhal, Thanks for bringing forth an interesting perspective that whether DDDM can be applied for small scale family business or not. The decision for applyiing DDDM is based on various reaqsons. Some of them are: 1. Increase the scale- Current Coverage and Potential capacity 2. Huge data to analyse 3. Earlier insights into future situations 4. Increase efficiency and thus drive profits 5. Sound backing for decisions taken If these are the reasons present in any case then DDDM can be applied in the case as these can be eaily fulfilled. For a small scale business, DDD
  7. Hi Abhijeet, Thankyou for liking the article and I would try and write more on varied other concepts as well. Thanks.
  8. Hi Tejinder, Thankyou for appreciating the submission,
  9. Hi Sonhal, Thankyou for liking the article.
  10. Hi Anubhav, Thanks for showing interest towards this submission.
  11. Hi Sagar, Thanks for appreciating the article and that it helped you in understanding the concept of DDDM. Thanks.
  12. Hi Ankit, Thanks very much. Hope it helped. Thanks.
  13. Hi Soubhik, Thanks for your interest in the submission. The points mentioned above that DDDM is based on past sales, production and procurement data is true and its benefits are immense. The article highlights the advantages that could have been achieved in the two cases occurred in past where in the manager had taken decisions based on gut feeling instead of D3M approach. Experience along with data backed analysis gives much more efficient results and reduces uncertainties to minimum. So, D3M approach should be deployed as far as possible. Thanks.
  14. Hi Jayati, Thanks for your query. Below I have tried to answer the same. D3M process is performed largely with the help of data analytics software packages. In these systems, data is fed and they deploy predictive models such as Bayesian Plots to predict future demands and supplies. Example: JDA provides supply chain softwares for Data Forecasting and Replenishment. It considers the historical data,current balance on hand, on order to provide forecasts for placing orders. Its underlying mechanism is D3M only. Also, the example stated by you of E3 systems which are automatic war
  15. Hi Kunal, Thanks for appreciating the article. Below I have tried to answer your query about the scenarios where D3M finds less relevance: 1. IMMEDIATE DELIVERY When there is time constraint and delivery takes precedence over analysis then D3M approach can not be applied. 2. OPERATIONAL TASKS When the manager has to carry out operational tasks which are of day to day nature, then D3M might delay the process as it takes time in analysis. 3. RESOURCE CRUNCH When the resources involved in the process are not available easily then the manager has to take a call and proce
  16. Hi Saumyadeep. Thanks for your interest in this article. Below I have tried to answer your query that how DDDM can help in unforeseen circumstances. DDDM is essentially a field associated with data analytics in which past data is gathered and used in predictive models. These models take into consideration various environmental variables and based on past data give a probabilistic numbers to unforeseen situations. These probabilistic algorithms give us some confidence level and find out what can go wrong. Thus, with data a manager can achieve a considerable insight into futuristic situa
  17. Hi Raja, Thankyou for your interest in this article. Below I have tried to answer the query on various levels of application of DDDM in a supply chain. There are three kinds of levels which a supply chain manager has to take decisions: 1. Operational Level 2. Tactical Level 3. Strategic Level a. Application of DDDM is least in Operational decisions as these involve day to day standardized process purchasing which involves a fixed set of processes and needs no major decision taking. b. Tactical decisions involve the role executed by a buyer including commercial and ne
  18. Hi Gaurav, Thanks for bringing forth this perspective of how new firms can enjoy the benefits of DDDM. Below I have tried to answer the same. Data driven decision making can be performed by analyzing data collected from two broad sources: 1. Internal data 2. External data In case of a new firm, the internal data would not be available. In that scenario,the firm has to rely upon trusted sources of data analytics which provide an in depth dissected information about the field. From those data sources, the company can build its own business intelligence and take decisions using DDDM approach.
  19. Hi Bharanidharan, Thankyou for your interest in this submission. Below I have tried to put forward some points for the queries: 1. Handling Anomalies in the data Step 1: Defining the criteria for data anomaly Before detecting the anomaly in the data, a manager has to define the yardsticks against which the data needs to be compared. Some of the possible measuring points could be : 1. Market Trends 2. World wide global reports 3. Competitor's position in the market Step 2: Detecting the data anomaly After the anomaly's criteria is defined the next stage is to identi
  20. Hi Anuj, Thank You for bringing this important aspect of requirement of mutual collaboration in DDDM. When data is used for analysis, one should ensure that the data is exhaustive and collected from all the concerned areas i.e the area of application and its source as well. Mutual integration between supplier and buyer is an important aspect for successful implementation of DDDM in a supply chain. To achieve this integration, both the sides need to work for each other and help in mutual growth. Purchase department in supply chains is slowly transforming into a function called as
  21. @Vaibhav. Thanks for your interest towards this submission. A supply chain model can either be of the following two types: fulfill the request as and when it arrives or have a long term view and use sourcing as the strategy. In first case JIT becomes the method and in the second one it gets converted into an approach giving broad guidelines for operations. When JIT is the method of execution, there is no emphasis on inventory instead delivery to customer takes precedence over it. So, there is a tendency to overbuy which leads to inefficiency. While using JIT as an approach one has to t
  22. Life teaches you every single moment.

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