Data Management & Customer Analytics Solutions
Seeking experts having experience with software and solutions related to:
- master data management
- data integration
- data quality
- customer analytics & visualization
we understand that organizations are currently faced with rapid growth in structured and unstructured data, which often resides in organizational silos. Objective of the study is to understand:
- how is data managed at an organizational level? (who own data? Is data management centralized, or managed by individual departments?)
- major data management challenges and pain-points
- key initiatives and technology investments undertaken to overcome data challenges
- typical use cases (how is data used in decision making? Tools leveraged for customer analytics, etc.)
the consultation would be in the form of a 45-60 minute telephonic conversation.
Ideally we are looking for experts that are currently or previously employed at axa france+27 Other Responses
Oil And Gas Data Analytic And Modeling
Job description data analytics and modeling in an upstream steam assisted gravity drainage (sagd) operations environment
the job involves building a performance management data model based on possible sources of human error (he), conducting data analytics to identify human error and possible causes for operators in an upstream sagd process. This will include the following:
suggest possible failure modes and causes for human error in an upstream steam assisted gravity drainage (sagd) process
build a data model/database for collecting data from different existing and possible data sources would be responsible for identifying and analyzing relevant external databases
build a database as an sme for the possible failure modes/ causes/effect and remedy
build an index and unique code of possible human error taxonomy and generate algorithm between failure modes and he code in operations
build a model database architecture that will integrate with the different operation databases for automatically collecting data from the various existing and suggested data sources
analyze the available data points ãâãâ¢ãâãâãâãâ post assessment scores, lost production data, loss due to human error etc. And suggest building up required data points
conduct fmea of possible human error
develop a predictive analytical model as a subset to the data model that will generate performance based training/skill interventions
conduct root cause analysis to map with training required
validate the need for re-certification and help plan a training calendar
create a data model that will automatically track human error down to the root causes, the individual responsible, the training received by the individual, and the trainer involved, competency scores and qualifications
interact and coordinate with the client project team and understand the dynamics of the client organization to ensure smooth execution of project
exposure to all or most of the following environments:
pi - data link,tableau
lpa (production loss allocations)
uniformance excel add-on
pvr data wizard
cl custom reporting
bx advisor assets (lean six sigma)
ms sql server
additionally, the job will require providing sme support for the training design and development team so that they can interpret the subject matter and create meaningful training. This role will include the following:
sharing best practices from the industry
doing research on examples of current training in the industry
taking part in brainstorming sessions with the design and development teams
reviewing and validating the training design approaches developed+5 Other Responses
Statistics For Data Anaysis
We are the computing technology industry association (comptia).
We are looking for professionals with at least 2 years of current experience in data analytics, business intelligence, data science, data mining, data analysis, and/or warehousing and a master’s in computer science, it or related field to be involved in developing and reviewing item content for our statistics for data analysis assessment exam.
The purpose of this exam development workshop is to create and review item content (questions) for a “statistics for data analysis” assessment. This type of assistance from subject matter experts (smes) is crucial in providing an industry relevant exam.
The course for which the assessment is being developed covers a broad range of statistical techniques and methods applied in real-world settings. Topics presented include inferential, parametric and non-parametric statistics, as well as regression analysis and analysis of variance.
While attending the 5-day workshop, smes will be provided with:
a sme honorarium of $300 a day (or $1500).
A $500 travel reimbursement (with the submission of appropriate receipts). Breakfast, lunch, and snacks, as well as some evening activities such as group dinners.
Recognition for you and your organization (if provided) on the comptia sme listings. If selected, before the workshop occurs, you will be tasked with writing items remotely, for which you will be reimbursed at a rate of $5/item that makes it through the review process with little to no changes. We will need to schedule a 45 minute training call with you before you may begin writing.
When: march 28th-april 1st, 2016 (9am-5pm daily)
where: downers grove, il usa
if this is something you are interested in and available to attend, please respond with your cv attached as soon as possible. Or, if you have questions about the application process please respond here.+9 Other Responses