Leveraging the Organisational Legacy: Understanding How Businesses Integrate Legacy Data into Their Big Data Plans

Jha, Sanjay; Jha, Meena; O’Brien, Liam; Cowling, Michael; Wells, Marilyn

doi:10.3390/bdcc4020015

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…Disconnected processes rarely result in seamless cross-functional processes; instead causing inconsistent and poor customer process experience (Ross, 2016). Although strategic DEN was identified in stage 1, it is important to assess and challenge current CRM processes; and identify where necessary where substitutes or re-engineered processed are required (Jha, 2021; Alvarez, 2013). Baranova (2016) stated that mapping the customer life cycle to define areas of improvement.…”

Section: Development Of Den Requirement Stepsmentioning

confidence: 99%

Analysing enterprise resources for developing CRM framework in higher education institutions

Khashab

Gulliver

Ayoubi

et al. 2022

JEIM

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PurposeMost Higher Education Institutions (HEIs) have silos of distributed processes, which adds to the confusion and conflict concerning the Customer Relationship Management (CRM), desires, expectation and needs (DEN). Where possible, in order to maximise resource impact and minimise organisational disruption, HEIs should practically map these DEN to processes, roles, events, activities, channels, and technologies (PRE-ACTs) that already exist within the organisation. The paper iteratively considers use of additional practical approaches that need be considered in order to ensure that strategic HEI CRM DEN are effectively captured, and that the requirements are appropriately mapped to existing HEI activities.Design/methodology/approachContent from 27 JISC cases, 10 semi-structured interviews and three focus group sessions have been collected and analysed using thematic analysis to understand how to develop preliminary stage 2 steps and assess the applicability of the final CRM strategy orientation support (CRM-SOS) framework stage 2 methods.FindingsThe authors believe that this study provides substantial practical support to CRM implementation practitioners when analysing customer CRM desires, expectation, and needs requirements. The developing practical tools aim to 1) support practitioners better comprehend the multifaceted life cycles, needs, and requirements of HEI customers, and 2) aid in the planning and management of CRM change more effectively.Originality/valueThe paper is extending the recent research around CRM strategy in HEIs by proposing additional practical approaches that need be considered to ensure that strategic CRM are effectively captured. The paper also offers considerable practical support to CRM implementation practitioners when analysing customer CRM desires, expectation, and needs' requirements.

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Section: Development Of Den Requirement Stepsmentioning

confidence: 99%

Analysing enterprise resources for developing CRM framework in higher education institutions

Khashab

Gulliver

Ayoubi

et al. 2022

JEIM

View full text Add to dashboard Cite

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“…Data migration occurs whenever software or hardware is replaced because it is out of date. According to Jha et al [2], business processes are required to be re-engineered for the integrating of structured data, unstructured data, and external data. The goal of data migration could be integrating all different types of data to fulfill the changing requirements of the organizations.…”

Section: Goals Of Data Migrationmentioning

confidence: 99%

“…Companies today often use IT systems that are old and have been specially developed for the company. These systems are called legacy systems [1] and have high operating costs or the employees lack the know-how for maintenance work, since the system is based on old programming languages and mainframes, and the documentation has been lost [2]. These are often the triggers for the procurement of a modern, new system.…”

Section: Introductionmentioning

confidence: 99%

Without Data Quality, There Is No Data Migration

Azeroual

Jha

2021

BDCC

Self Cite

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Data migration is required to run data-intensive applications. Legacy data storage systems are not capable of accommodating the changing nature of data. In many companies, data migration projects fail because their importance and complexity are not taken seriously enough. Data migration strategies include storage migration, database migration, application migration, and business process migration. Regardless of which migration strategy a company chooses, there should always be a stronger focus on data cleansing. On the one hand, complete, correct, and clean data not only reduce the cost, complexity, and risk of the changeover, it also means a good basis for quick and strategic company decisions and is therefore an essential basis for today’s dynamic business processes. Data quality is an important issue for companies looking for data migration these days and should not be overlooked. In order to determine the relationship between data quality and data migration, an empirical study with 25 large German and Swiss companies was carried out to find out the importance of data quality in companies for data migration. In this paper, we present our findings regarding how data quality plays an important role in a data migration plans and must not be ignored. Without acceptable data quality, data migration is impossible.

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Leveraging the Organisational Legacy: Understanding How Businesses Integrate Legacy Data into Their Big Data Plans

Cited by 2 publications

References 13 publications

Analysing enterprise resources for developing CRM framework in higher education institutions

Analysing enterprise resources for developing CRM framework in higher education institutions

Without Data Quality, There Is No Data Migration

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