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Data Kaizen services is one of the premier strategic consulting firms that integrate database technologies analytics and processes to help clients manage their data and find solutions to difficult business problems. We provide world class complex analytics tools, techniques and strategic advice in determining and evaluating key performance indicators (KPI's) identify key drivers and understanding the nature of the underlying risks.

Our services portfolio includes wide range of consulting services and solutions to organizations in diverse industrial segments. Our services include


1. Data Analytics Services
           a) Data Entry
           b) Data cleansing & validation
           c) Data Processing
           d) Data analysis using appropriate statistical methods and tools
2. Data Modeling Services
           a) Developing models based on data, using appropriate algorithms.
           b) Effective use of mathematics statistics operations research Data mining Artificial                    Intelligence tools and techniques.
3. Operational Services
            a)Analyzing the data to identify potential gaps and create a roadmap to improve                         operational efficiencies

What Analytics is:

As the global political & physical barriers are collapsing, all the global markets are getting opened for businesses, creating a competition between companies to market their products, increase their revenues and grab most of the customers. Organizations are not just worried about the profitability but also survival in this Global scenario. All along till now, Organizations were using business intelligence to get the information from the vast amount of data buried into various internal systems. This is where Business Analytics and Data Sciences play!! It’s not just reporting of past data or what is happening now, but giving organizations the futuristic directions towards the business.
It can answers questions like:
• How do we get more insights about our customers?
• What if we change the price or service of the products?
• What will be the impact of an advertisement on our customers?
• How do we target our most profitable customers?
• How do we detect frauds?
• Which of the customers are likely to leave us in future?

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