• How will my business data be managed?

  There are various ways data is managed at Yazi which are:

  Data Collection and Integration from various sources into Yazi’s facilities like the data warehouse(Big Querry) in GCP to ensure data consistency and integration to create a unified data repository. This data is then governed by policies to ensure data quality, integrity, and compliance with regulations. To develop insights on the data, our data engineers use tools like Looker Studio to visualize the data to gain insights. 

• What are the overall data posture assessment and recommendations?

  Data posture assessment is done through Yazi’s data security practices and identifying potential risks that cover data classification, access controls, and incident response procedures.
  Yazi recommends implementing Data Loss Prevention(DLP) solutions to prevent unauthorized data exfiltration.

• What is Descriptive, Diagnostic, Predictive, and Prescriptive Analytics?

  Descriptive, diagnostic, predictive, and prescriptive (DDPP) analytics are four crucial components of cloud analytics that help Yazi extract valuable insights from their data and make informed decisions.

• What are the Advanced Capabilities including Artificial Intelligence and machine learning?

  Yazi offers a comprehensive suite of artificial intelligence (AI) and machine learning (ML) capabilities with its facilities that enable businesses to build, deploy, and manage intelligent applications and solutions 

  These capabilities include Increased efficiency and productivity, Deeper insights from data, and Personalized customer experience.

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