NCI Courses

• Introduction to Information Management and Management Information • Successful commercial [SME] and state use of information management systems – strategic technology • Digital divide and why charities find them on the wrong side. • Digital inclusion, eInclusion, EU and Irish state strategy to bridge the digital divide • Alignment of best practice in service delivery with strategic technology

• Client and Case Management system requirements • Information Management prior to computerisation - Information categorisation and filing systems • Spot technology solutions to particular information management needs • Single shared information system - a model • Management information solution [MIS] build on information management system • ·Service delivery chains and the sharing and reporting across services and up the chain

• Charity technology strategy – technology to support a single shared information system • Methodology – Requirements gathering – time-lining processes and documentation of requirements • Mapping requirements – align best practice in service delivery with strategic technology solutions • Charity technology options, technology donations and integration of technology solutions • Budgets and timelines

Case Studies - eCASS – comprehensive addiction services solution · fundraising, volunteer management and communication – website integration · integrated CRM and financial accounting solutions · Dashboards and Reports – MIS

• Overview of Kotter’s change management theory • Creating the vision and engaging stakeholders • Using data to support uptake of new practice • Overcoming common project management hurdles (i.e. low uptake of new practice, lack of staff engagement, low value on new practices, issues in relation to competency, lack of access to hardware)

• Understanding your role as a data controller • IM technology • What is sensitive data? • The difference between anonymous and • Consent • Data management and use

• Why is social impact measurement needed • Recent changes to the sector, i.e. commissioning, social bonds and the role on impact measurement • Evaluating organisations approach to outcome measurement • Developing an outcomes framework - what is involved • The difference between data on satisfaction and data on outcomes

• Terminology – inputs, outputs, outcomes, impact, indicators • Pros and cons of this method • Faciltative techniques / process for supporting engagement of the team • Avoiding common pitfalls (not using appropriate language, confusing process data and outcomes • Applied examples

• Terminology – assumptions, goals . needs statesments • Pros and cons of this method • Faciltative techniques / process • Avoiding common pitfalls (not critiquing assumptions, confusing outcomes and methods, skipping steps in the process) • Applied examples

• Terminology – impact, deadweight, attribution, materiality, proxys • Pros and cons of this method • The seven principles and applying these • Avoiding common pitfalls (lack of validated data, overvaluing, not capturing attribution and deadweight, leaving out negative outcomes, ) • Applied examples

• The four ways of measuring change (action, partipcnat view, observer view and test0 • Where to find validated tools • Understanding validation • How to evaluate tools • Developing bespoke tools • Pre and Post data collection – why this is needed • Undertaking data collection – focus groups, interviews and survey • Benchmarking

• How to enagage with stakeholders • Using findings to tell a story • Consistent improvement of outcome measurement