5 min
With operations in more than 50 countries and serving more than 40,000 customers, Micro Focus has been delivering tangible business impact for customers, rightly being called the Big Daddy of Software solutions for its core areas. India has witnessed an interesting growth in terms of users in areas such as smart cities and big data analytics.
Analytics India Magazine interacted with Saurabh Saxena who is the country director for Micro Focus, India and has been driving revenue success, alignment to region business strategy, and delivering valuable business outcomes through bridging the gap between existing and emerging technologies. In this detailed interaction, Saxena talks about Micro Focus’ growth and role in building up of smart cities and digital transformation in various sectors such as banking, while using advanced technologies like AI and ML in disrupting their offerings.
Analytics India Magazine: What is Micro Focus doing in the space of predictive analytics? Would you like to highlight some use cases?
Saurabh Saxena:Analytics, from descriptive to predictive, is key to customer retention and business growth. We offer the information management tools you need to leverage your most valuable business asset—your data—so you can find customer insight, protect your organisation and drive new revenue opportunities. Micro Focus helps leverage machine learning to transform unlimited volumes of data into accurate, actionable, automated insights at the speed of business. We provide the following solutions in the field of Customer Behavior Analytics, Cognitive Search and Knowledge Discovery, IoT Analytics and Security Analytics to make it possible:
- Vertica - It provides a powerful analytics platform based on columnar storage. At its base, Vertica is a SQL database that was purpose-built for advanced analytics against big data.
- IDOL - It helps capitalise on virtually any unstructured data asset with unified search and analytics for uncovering trends, patterns and relationships across video, image, audio and text
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