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ICRISAT Global Planning Meeting 2019: ICRISAT Digital Strategy by Team Ihub

  1. ICRISAT Digital Strategy Global Planning Meeting – Feb 2019
  2. Service Delivery Digital strategy involves transforming processes, talent engagement and service delivery. Enable Mature digital organizations integrate digital technologies across SMAC (Social, Mobile, Analytics, Cloud) Integration Studies reveal employees across all age groups want to work for a digitally enabled organization. Transform A Digital Strategy can transform how we work rather than solve discrete problems with individual digital technologies Need for “Digital Strategy”
  3. Cost – The cost of delivering high-end IT solutions is reducing year on year. Speed – Solutions can be deployed in a matter of weeks and end-user service delivery can be in near real-time. Expectations – Both clients and employees are digitally savvy in their personal lives (online banking, online tax payment, ticket booking, etc.) so why not at work. Employee experience – Employees want to work for organisations that are committed to a digital trajectory. Higher productivity – By eliminating repetitive and/or redundant tasks employee time is freed up for value-added activities. Increased efficiency – Less time and cost to achieve impacts. Faster turn-around time – Critical for support functions like finance, procurement, HR, etc. Global Drivers
  4. KeyIssuesICRISAT’s Drivers (IAU Report) & Accenture Report Absence of approved strategy for research data management Lack of enforcement to imbibe culture of data sharing Dated Data Management Policy (2014) Absence of documented processes in User Manual/ Standard Operating Procedures Lack of adequate awareness among the other units on the Data Management Policy and software being used for data management • Loss of crucial data due to lack of effective centralisation. • Possibility of misuse of data. • Improper diversion of resources without a strategy. • Repetition and duplication of research activities. • Inefficient use of available resources. • Lack of effective scientific output due to non-availability of past data for analysis. • Impact to the organization’s research activities due to loss of data from individual systems or units. • Ambiguity with other data/datasets such as Finance, HR that are governed by their Unit policies especially with regards to data sharing and archival. • Loss of legacy data. • Lack of clarity may lead poor compliance of the policy and loss of data and/or duplication of data. • Ineffective utilization of the resources due to lack of adequate guidance. • Poor compliance will lead to incomplete data transfer and loss of critical information. • Loss of useful data due to the same being scattered across the Institute. • The quality of data may be compromised due to inconsistent practices of storage and archival. AssociatedRisk
  5. Fall in love with the problem not the solution!
  6. Preliminary Analysis BMS GIS VDSA Genomics HR Finance Procurement SalesForce Intranet-based applications Illustrative Examples ICRSAT website HOPE website GEMS website AIP website Workplace OAR LinkedIn/Twitter/FB Research Website & Social Media Admin & Support
  7. Unit wise data collection Hybrid model (cloud + on-site) ONE ICRISAT Enabling Policies, SOPs, BPR Business Intelligence Data management, curation, archival (centrally managed) to optimize purchase and management of expensive servers and storage Unified and seamless view of data irrespective of source & location between research, admin, support and website comms (data mgt and protection policy, digital assets policy, social media policy…) High-level Strategy Data availability and data sharing Skilled Team (matrix structure) Accountable for 24x7 availability, configuration, health monitoring, upgrades and patch management, IT security, DRP and BCP. Data Governance
  8. Data generated by research / admin units is institutional data and should reside in institutional databases along with being available on individual’s laptops or with units/departments. Avoid email based workflows/exchange of data. Hybrid model (cloud + on-site) to be adopted. Digital data capture with the ability to synchronize on a real time/near-real time basis. Field data must be time stamped and geo tagged. ONE ICRISAT – Seamless employee experience while accessing services. Database administrators, programmers, etc. spread across the organization will network in a matrix structure. Follow ‘Open Access Open Data’ policy of CGIAR. Adhere to GDPR for data protection and privacy standards. High-level Principles
  9. Whole is more than sum of its parts ICRISAT SBDM ISU DAY IT Infrastructure Management & Services Data Management & Leveraging Big Data Digital Agriculture Organizational Digital Strategy
  10. Thank You
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