Maturity Model for Data Analytics in Health InstitutionsMolina-Granja, FernandoGranda, Wayner BustamanteAltamirano, Jorge DelgadoRamos, Paul LópezJournal of Positive School Psychology
The Data and Analytics Dictionary This free dictionary covers terms commonly used in the Data and analytics field. It is not intended to be exhaustive. Instead I have focussed on a few terms I feel to be pertinent, perhaps particularly to those with less of a background in the area. I ...
In this article, we examine how state and local governments could benefit from data-driven decision making, and the common obstacles an informed data strategy could overcome. We also discuss six factors that have helped public-sector agencies accelerate their data and ...
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Figure 4-2.Data analytics maturity model (source: Gartner) Each process from insight to decision is based on the results of this analysis. Nevertheless, each level of analytics means greater challenges than that of the previous one. If the system fails to complete such analytics on its own, ...
Keywords: big data;big data analytics;maturity model;capability maturity model (CMM);big data maturity model;COVID-19 pandemic;critical success factors;readiness assessment;systematic literature review
The enterprise operating model for data and analytics must also work to overcome gaps in thedata ecosystem, data architectures, organizational delivery approaches and skills — including data analyst, data scientist and data engineering skills — needed to execute the D&A strategy. ...
Maturity modelNetwork planningBig data analyticsAirlinesCase studyThe evaluation, acquisition and use of newly available big data sources has become a major strategic and organizational challenge for airline network planners. We address this challenge by developing a maturity model for big data readiness ...
In this research study, our data and analytics model TCS Datom was used to assess data maturity. This model contains five maturity stages. Siloed:This is the first maturity level. Seven out of 12 sectors are represented. Simplified:Nearly 50% of the surveyed organizations have ‘Simplified’ ...
While most organizations realize the value of data analytics, many have yet to achieve full implementation maturity. To help understand this,Gartnerhas detailed five levels in its maturity model for data and analytics. Basic:This is the initial stage of maturity, where data an...