Remove 2020 Remove Customer Experience Remove Government Remove Mining
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ABBYY Releases Research: State of Process Mining and Robotic Process Automation

Info Source

Global survey results released today found that process knowledge is the primary success factor for robotic process automation (RPA) projects, yet only 31% of US organizations are currently using process mining tools to understand their processes. Improving customer experience. Process mining . IT service management.

Mining 52
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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. So, information must be readily available to automated systems and business users and customers as a product or a service. Information Governance (IG).

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Business process management (BPM) examples

IBM Big Data Hub

Notifications can be generated to update customers about the status of their requests. This reduces response times and improves customer experience by making service more consistent. Workflows can be established that govern the movement of goods from supplier to customer. This created an expensive problem.

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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

In fact, it’s estimated the number of connected objects will reach 200 billion by 2020, up from just 2 billion in 2006. Utilities identify improving the customer experience as a top business priority (88%) and see data as a digital lever for personalized customer engagements.

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The importance of data quality in Financial Services

Collibra

These data quality issues in financial services directly impact customer experience, interactions, and transactions, resulting in higher costs and lost revenue. Data quality issues lead to bad decisions and weak strategic planning, leading to higher expenses and lost customers. Pattern mining. Correlation analysis.