Essays about: "Data and Analytics maturity models"

Found 3 essays containing the words Data and Analytics maturity models.

  1. 1. Business Analytics Maturity Model : An adaptation to the e-commerce industry.

    University essay from Uppsala universitet/Företagsekonomiska institutionen

    Author : Valentin Nilsson; André Dahlgren; [2019]
    Keywords : Maturity Model; Business Analytics; E-commerce; Swedish Businesses; Organisational factors; Technical factors; Data; Data Analytics; Resource-based view;

    Abstract : Maturity models have become a widely used framework for assessing various capabilities and technologies among businesses. This thesis develops a maturity model for assessing Business Analytics (BA) in Swedish e-commerce firms. READ MORE

  3. 2. Do or Die: How large organizations can reach a higher level of digital maturity

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik och samhälle

    Author : Jesper Hägg; Sandy Sandhu; [2017]
    Keywords : Digital maturity; Maturity models; Digital transformation;

    Abstract : The business landscape as we know it is being disrupted by an increasing usage of emerging digital technologies, to reap the benefits of the new technological opportunities managers need to transform their organizations. To do so, research literature proposes striving towards digital maturity. READ MORE

  4. 3. Increasing analytics maturity by establishing analytics networks and spreading the use of Lean Six Sigma : A case study of a global B2B company

    University essay from KTH/Industriell Management

    Author : VIKTOR SVANTESSON ROMANOV; IDA GULLQVIST; [2016]
    Keywords : Data and Analytics maturity models; centralisation decentralisation of analytics; analytics setups; analytics networks; knowledge management and collaboration; Lean Six Sigma;

    Abstract : Organisations with high-performing data and analytics capabilities are more successful than organisations with lower analytics maturity. It is therefore necessary for organisations to assess their analytics capabilities and needs in order to identify and evaluate areas of improvement that need to be addressed. READ MORE