Engaging TMetrika Excellence: Statsmetrika

Without doubt, Statsmetrika is operating businesses in a new and improved way by enhancing the level of productivity and efficiency while progressing towards the organizational vision. Now if we go back to the basic, let us first get re-acquainted with the excellence, that is, Statsmetrika and its performance in the respected field.

Covering in and about every primary field in today’s fast-pacing and ever-demanding market space, Statsmetrika is offering customized and highly effective consultancy after analyzing the user’s individual needs and challenges. As a famous product and service-oriented company, it aids in presenting solutions such as analytical services, statistical programming, data management services, medical writing, biostatistical services and consulting services. Moreover, the introduction of an innovation such as CDISC (Clinical Data Interchange Standards Consortium) standards for the first time in India has carved the way for Statsmetrika towards the top. CDISC standards are introduced in a way to successfully convert the unstructured data into a standard format that enables faster, more efficient and reliable conversion of prevailing clinical trial data to standard domains. Besides having a lot of speculation about the effectiveness and implementation of these standards, numerous regulatory authorities and major agencies are making good use of it. TMetrika has already onboarded clients such as, Par Biosciences and Veeda, as their loyal customers.

Further, Statsmetrika takes credit for the innovation of three highly practical and useful products for their clients. Namely:

• TMetrika
• QMetrika
• WebMine

TMetrika is a more straightforward and scalable product that comes in handy when an effective optimization of your clinical trial design is used for a dramatically better CDISC conversion, operation, and execution. It is an excellent CDISC Conversion solution for bioequivalence and bioavailability studies, which allows Clinical and Bioanalytical data to convert into CDISC format. Thus, creating outlines for SDTM and ADAM by using pinnacle21 that validates CDISC datasets and generate issue summary, which makes it a whole lot easier to submit the reports faster and smoother.

Interestingly, Statsmetrika has successfully converted more than 300 Study data manually into CDISC. Now they have stepped up by launching their amazing find, i.e., TMetrika, to automate the entire process. It not only does solve the clinical data analysis problems faced by the clients, but it also takes responsibility for many other things. Some of the important features of TMetrika are as follows:

Admin access helps in:

• Creating Studies – Needs a complete log of created studies o Creating Users - Needs a complete log of created users o Provide and remove access to client and study folder
• Project Management
  • Project Milestone and timelines
  • Work assignment with timelines
• Audit log > User creation history
  • Username and ID
  • User created date and time
  • Who created
• Audit log > User access history
  • Start and end date and time of access
  • If multiple times access provided, then for each access start and end time
• Create duplicate files and capture history (dates, who changed, what changes) if values not match in following files:
  • XPTs
  • Project data
• Create duplicate files and captured history (dates, who changed what changed) if documents saving date is changed

• Discussion Room- like LinkedIn
  • Promotion Room
• SAS Log view window
• Error, warnings and unwanted messages window with-in SAS log view window
• Data view window like SAS
• Create define, View Define, validate define and view validation reports
• Validate CDISC datasets and view validation reports
• Make module 5 folder for Datasets
• There are following stages to create SDTM and for each success or failure in stage has to log and provide success and failure message
  • Project folders creation
  • Projectdata.xls to SAS datasets creation
  • Define.XML creation
  • CDISC datasets creation
  • CDISC datasets validation
  • Define.XML validation
• User access
• Quality Check lists and signature – Check list should be created dynamically
• Metadata search option

The above-mentioned features offer in-depth and highly customized solutions to a firm’s clinical trial needs, thus guaranteeing success.