nividh for schools

8/3/2019 Nividh for Schools

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Improving student performanceand school effectiveness with Nividhanalytics

Rudra Narayan Pandey

Nividh Education Analytics Nividh Business Intelligence919448119930http://www.nividh.com/bi/ondemand/dashboard-

education.jsp
http://www.nividh.com/bi/ondemand/dashboard-education.jsphttp://www.nividh.com/bi/ondemand/dashboard-education.jsphttp://www.nividh.com/bi/ondemand/dashboard-education.jsphttp://www.nividh.com/bi/ondemand/dashboard-education.jsphttp://www.nividh.com/bi/ondemand/dashboard-education.jsp


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Nividh Business Analytics for Schools Nividh Business Analytics SAAS delivers complete,

consistent and accurate information that decision-

makers trust to improve business performance. A comprehensive portfolio of business intelligence,analytics, financial performance and strategy management, and analytic applications providesclear, immediate and actionable insights into

current performance and the ability to predict futureoutcomes. Combined with rich industry solutions,proven practices and professional services,organizations of every size can drive the highestproductivity, confidently automate decisions anddeliver better results.


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Nividh -What Makes it Smarter

Teachers now have unprecedentedinsight into the needs of each of theirpupils, enabling them to provideadditional instruction and study time when necessary, and to intervene with

students who are likely to drop out.


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Business Benefits Provides teachers with insight

into the needs and anticipatedperformance of each student

Identifies students that require additional instruction and study

time for certain subjectsIdentifies students who are

likely to drop out so teacherscan intervene Provides a way to measure and reward --teachers who exceed predictedstudent performance levels


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Motivating teachers to excel Predicting student performance for proactive

intervention is not the only way the Department is

using its models to create data-driven change in itsdistricts. Administrators are also using eighth grade test

history to predict students scores on high schoolexams and motivate teachers. For each student that

exceeds his or her predicted score, the teacherreceives a pay incentive in US. This approach has helped the districts raise student

test scores as well as compete more effectively withthe private sector for prospective teachers skilled in

hard-to-staff areas like math and science.


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HigherEd Analytics ApplicationMetrics We organize our data Analytics

into subject areas. Some of oursubject areas include:

AdmissionsStudent TermStudent PlanGraduates

RegistrationClass ScheduleFaculty TermStudent Financials


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Three levels of analytics capabilityemerged Aspirational, Experienced and Transformed


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Functional AreasPlanning and controlling (planning and

budgeting, research analytics, academicanalytics, student analytics, accountinganalytics, HR analytics, HR forecast);

Accounting (payments, incomes, fixedassets, general ledger, etc);

Research (project management, researchassets management);

Student and learning (course planning,

student services, resources management,community, e-learning);

Human Resources (organizationmanagement, career, skills management,training, payroll)

Your employees can work more productively with student life-cycle and academicrecords, funds management, personnelmanagement, and financial and studentaccounting accessible and all in one place.Timely, consistent data such as key performance indicators (KPIs), reports,analytics, balanced scorecards, andperformance-based budgeting supportsinformed decision making.

Analytics pay off It takes big plans followed by discrete actions to

gain the benefits of analytics. But it alsotakes some very specific managementapproaches. Each of our recommendationsmeets three critical management needs:

Reduced time-to-valueIncreased likelihood of transformation thats

both significantand enduringGreater focus on achievable steps.


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Nividh Analytics -Student Life cycle1 Plan Behind every great endeavor is a well-constructedstrategy. Each year, administrators outline strategic programgoals and objectives to achieve greater institutional effectiveness.By using analytics, your institution can developdata-driven plans for each stage of the student lifecycle

2 Enroll Student recruitment is a critical task for every institution. analytics allows admissions offices tofocus recruiting efforts and stretch marketing dollars further by identifying the right message and offer for the right prospectivestudents those that are not only most likely to enroll, but alsomost likely to be successful at your institution

3 Advise After students are enrolled, analyticscan help advisors detect patterns in data describing studentacademic preparedness and predicting future performance.Through this analysis, they can identify the course path that bestsuits each students learning needs and aptitudes and that willprovide the best preparation for their post-graduation goals

4 Teach Teaching and preparing students for post-graduationsuccess is the core mission of a university. Statistical analysis,

survey research and data mining helps ready your students fora world of opportunities in todays highly competitive jobmarket.

5 Assess & Retain Using analytics to spot patterns and trends inlearning, satisfaction and engagement across the student body enables planners to identify areas where improvements wouldadd the greatest value. With predictive modeling, schools canalso predict which students are at risk and determine theresources needed to proactively intervene

6 Engage Keeping students engaged doesnt end atgraduation. Through survey research and analytics,schools can capture and analyze information to understand alumniattitudes and values, better target affinity programming, improveprospect identification, increase fundraising campaign responserates, reduce marketing costs and help grow your endowment


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School Metrics HEADCOUNT: This is the unduplicated

headcount for the entire academic year, i.e.,counting each individual student one timeduring the year. Headcount does not includeLeave of Absence (LOA), but it does includeEnrollment Maintenance Fee (EMF)status. Headcount does not includeContinuing Education.

FTE: Full Time Equivalent - Total creditsdivided by the minimum number of credits/full time load.For programs on thequarter system, this is 8 credits for graduateprograms and 12 credits for undergraduateprograms. Programs on the semester

system are to convert semester credits toquarter credits, multiplying by 3/2, andthen use the 8 or 12 divisors. The FallTerm's FTE will be reported asrepresentative of the entire academic year.

Graduation Rate: This is a program-by-program metric. It is the number of students graduating within an individualprogram's graduation period divided by thetotal number of students who had enteredthe program at the start of that period.

Retention Rate: The number of studentsremaining in a program after 1 year and 2 years divided by the totalnumber of students who had entered the program atthe start of those periods.

Conversion Rate: The number of applicants divided by the number of inquiries.

Acceptance Rate: The number of acceptances divided by the number of applicants.

Yield Rate: The number of those enrolled(matriculated) divided by the number of acceptances.


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School Metrics Admission Metrics Application Count, Complete Count, Confirmed

Count Denied Count, Enrolled Count , OfferedCount

% Applied Enrolled , % Applied Offered

% Confirmed , Enrolled , % Offered Confirmed% Offered Enrolled

Enrollment Metrics Avg Credits Attempted , Avg Credits Earned Avg GPA , Enrollment , FTEGraduated Prior to Next Fall , Graduated Prior to Next

TermRetention % , Returned Next FallReturned Next Fall Eligible , Returned Next TermReturned Next Term Eligible , % Change in Enrolment% Change in FTE

Degree Awarded Metrics Avg Credits Earned , Avg Final GPA Avg Yrs to Graduate , Degree Count , Distinct

Graduates

Student Term

Student Count, Enrolled Student Count ,New Enrollement Count, Num Student Withdrawals Prior Year

Student Count, % Change in Student Count PY

Change in Student Count PY, Avg Credit Hours, Avg GPA Cumulative, Avg GPA Term, Avg Student GPA Change.,Prior Term Cumulative, GPA Credit Hours Cum, CreditHours Term, GPA Cum, GPA Term, Grade Points Cum,

Grade Points Term, Cohort Retention %, Second Yr Retention %,Third Yr Retention %

Class Schedule/ Utilization

Num Courses Offered Num Sections Offered, Avg SectionCapacity Avg Course Capacity, Avg Sections Per CourseCourse Utilization %, Section Utilization %, Faculty CountStudent to Faculty Ratio

Detailed School Metricshttp://www.districtconnections.com/Documentation/Metrics/Me

tric317.htm
http://www.districtconnections.com/Documentation/Metrics/Metric317.htmhttp://www.districtconnections.com/Documentation/Metrics/Metric317.htmhttp://www.districtconnections.com/Documentation/Metrics/Metric317.htmhttp://www.districtconnections.com/Documentation/Metrics/Metric317.htm


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Sample Scorecard


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Admissions Dashboard - DVT


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School - DVT


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External relations Dashboard a.Students Enrolled - Calculated by

counting total No of students got enrolledunder various classes. This is an indication forstudents volume got admission for variouscourses & trend analysis from previous years.

b.Fund Raising Calculated by adding thedifferent types of amount acquired from

various resources. It is the processof solicitingand gathering contributions as money or otherresources, by requesting donations fromindividuals, businesses, charitable foundations,or governmental agencies.

c. Applications Calculated by counting totalno of applicants applied for admission. This isan indication of applicants volume registeringfor admission process.

d.Marketing Budget Calculated by counting amount to be spent on promotions,advertising, printing, events etc. Marketing

budgets ensure that your marketing plan orcampaign is realistically costed.


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Staff Personnel a.Break Out Overview The breakup of

various categories (For e.g. Total schoolemployee can be categorized into Admin,teaching & nonteaching staff), so thatcomparison can be done & Analysis can be made at individual level. b.Faculty Highest Degree Calculated by counting faculty having higher degree.This is an indicator for knowing the volume of faculties having highest degree.

c.School Contract Services Theservices that have been taken by school on

hired basis. It includes security, cleaning,landscaping etc.

d.Non Teaching The breakup of Nonteaching staff which includes secretaries,finance, HR, Accounts etc.


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School HR a.Headcount Calculated by

adding the teaching & non teachingstaff. This is an indicator of thenumber of teaching & nonTeaching staff over different year.

b.Student Teacher ratio Itrefers to the number of teachers in aschool or university with respect tothe number of students who

attend the institution. For example,a student teacher ratio of 10:1indicates that there are 10students for every one teacher.

c.Historical Trend It indicatesthe data of previous years which

helps to take decisions based onhistorical data.


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School Demographics a.Total nationalities

(Geographics) - It indicatestotal no of Nations from wherethe students are coming tostudy.

b.Nationalities % total- Indicates the total percentageof students from differentnations studying in Institute.

c.Extra Curricular Activities- The Detail of various extracurricularactivities happening in school(athletics, music etc).


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School Finance

a.Revenue Vs Expense Indicatesthe Comparison of Overall Revenue &Expenses made during

different years. b.Revenue By Category Revenueis the amount of money that is brought into a organization by its business activities. Its categoriesincludes tution fee, transportation fee,Entrance fees etc.

c.Expenses By Category Money expended or cost incurred in a firm'sefforts to generaterevenue, representing cost of doing business. Its categories includespersonnel expenses, Facilities,operating expenses , depreciatingexpenses etc.).


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We sit on a ton of very useful information but dont use it to driveaction. Just using what we have and

converting it to action will yield millions of dollars in additional revenues. Financial services institution

If we can get to a point where we can shareresults with everyone - good or bad - it will cause processes and business to run moreefficiently and effectively. We wont have to worry about reinventing the wheel because weknow what works and what doesnt. Financial services company

Sales Vipul Sharma [email protected] ,

[email protected]

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