Data analytics to bridge knowledge gaps


An ACCA white paper on supply and demand for big data analytics in Asia Pacific

Through dialogues with industry and users, members of the Asia Cloud Computing Association (ACCA) noted a trend where the demand for data analytics seemed greater than its supply. As a result, the ACCA developed a white paper to examine this trend. Within the report you’ll find 5 observations based on the ACCA’s findings, plus 4 suggestions to plug the gaps. The findings include:

  • Data-driven decision-making has become mainstream
    Almost two-thirds of companies use data analytics, with more demand expected
  • There’s strong demand for customisation
    Companies in most industries find it difficult to leverage analytics for effective customer targeting and developing new products and services
  • Analytics providers must help users
    There are two main challenges for data analytics users: data management and implementation know how
  • Customer segmentation v cost drivers
    Users want to tools that understand, segment and target customers – however, there’s less enthusiasm for understanding cost drivers
  • Data-driven strategy
    There’s demand for data to support strategic decisions
  • There are knowledge gaps
    Users understand data mining and predictive analysis, more than big data and data analytics
  • Barriers to procuring analytics services
    Cost leads the way, followed by data permissions and centralised data capture
  • Industry verticals
    A comparison finds banking and financial services to be strong on structured data, while retail shows sophisticated customer segmenting and targeting

The 25 companies surveyed represents a diverse set of analytics providers and users. Interviews and focus group discussions complemented the survey findings. The majority (67%) of the analytics providers in the study have a global remit and operate across the globe. The analytics users surveyed are companies from Asia Pacific that operate in one (46%) or more (54%) markets in Asia Pacific.

Gain a deep understanding of Asia Pacific data demands

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