Although in-depth analysis of correct data holds the power to engrave a business firm’s success story, only 39 percent of the companies use such significant customer data and translate it to profit. There is a common misconception about Big Data that it’s complex. Adding to this are many big data startups, which provide data analytics using tools and in-depth data mining solutions. aSaw provides guaranteed results and not just solutions through getting data from various sources including social media and machine data, analyzing it and providing insights by integrating the relevant data present in silos, which results in increased business profitability.
Using innovative decision making framework,tools and partnership with the clients, a Saw not only guarantees results through increased efficiency of people and processes, but also helps clients to achieve customer-focused revenue growth
Streamlining Fallacious Business Models
Having spent 15 years in data analytics and business transformation in banking sector, the founder, Archna Wadhwa, chose to follow her heart and set up her own company in 2014 in UK followed by an office in Bangalore, as she envisioned an immense scope for analytics in Retail, Logistics, Airlines and Telecom in addition to Banking.
An engineer from Punjab University and MBA from IIT Kharagpur, Archna set up a Global Analytics Centre in Kolkata for HSBC and later managed the consolidation of European Analytics Centre in UK. In her last role, she was a Chief Data Officer in Group Headquarters of HSBC, London. Her colossal knowledge in business, operations and data analytics provides a Saw a definite boost to improve operational excellence and profitability.
Revamping Future of Business Intelligence
With unique business model of linking up with industry experts and also with global academic institutions for research purposes, a Saw wants to grow as a big brand in analytics and consulting through saving operational cost. Setting targets at Asia, Europe and Middle-East market, Archna wants to have another office in Singapore or Hong Kong in the next two years. Amid authenticity in data analytics and an experienced team at the back, this new-born company aims to go big and has the potential to taste success.