Predictive Smart Management

What to do with all your data?

Technologies offer more options. Nowadays smart cities become true. From multiple sources, we can collect data and mind it with specific metrics to help you better know your customers and improve your company market performance. Being anticipative, smart and client oriented are modern-day conditions of business success.

At KHAGAN, from Compliance, Finance, Risk, to Data we have invested in helping organizations to meet not only the challenge of today’s risk-filled business world, but also to improve their performance and enhance their growth.

Predictive Smart Management

We support decision makers with Predictive Smart Management.

Our product, Predictive Smart Management, uses algorithms and artificial intelligence (AI) to master multiple data flows which gives you a perspective on the future.

You gain predictability and responsiveness to markets.

The parallel is simple with the aviation sector, aircraft are equipped with dashboard to allow the pilots to decide according to the information received in real time. Predictive Smart Management is the control screen for companies that allows them to anticipate the future with real-time and past data.

The Predictive Smart Management is to have your set of tools to improve the current and future management of your company using relevant internal and external data.

The Predictive Smart Management is to have your set of tools to improve the current and future management of your company using relevant internal and external data.

Data Mining Services
  • Tailor-Made design and implement processes of analyzing data
  • Data sources from internal and external data
  • Oriented Business Intelligence for real-time recommendation
Robotic Process Automation Services
  • Design process
  • Optimize existing process with a focus on automation
  • Automation tool tailor-made design & implementation
  • We advise our partners and select for them the ad hoc Robotic solution
Data Governance Services
  • Design and implementation conform to regulatory requirements
  • Data Quality methodology implementation
  • Integration between Data, Metadata and Data Architecture
  • Customized a Meta Data Model
Data Quality Services
  • Quality management processes
  • Quality management systems
  • Quality assurance
Fraud and anomaly detection
  • Fraud assessment
  • Fraud management and designs a blueprint for the future
  • Identifies current and future risks and vulnerabilities
  • Analytics innovation
  • Optimization management processes and tools