The client is a leading financial securities firm that offers online digital contacts, transparent trading practices and extends personalized customer service and support. Their services include brokerage, investment advisory, financial services and portfolio management in stock markets, debt markets as well as derivatives markets. The company is a respected corporate member of the National Stock Exchange (NSE) of India.
The client is a leading publicly listed Pharmaceuticals Company with a large shareholder base. The company manufactures all major dosage forms such as Tablets, Capsules, Injectables, Syrups, Ointments, etc.
Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’
Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.
If your business is ready to implement a BI tool and augmented analytics solution, there are some things you will need to do first. If you plan correctly, you will enjoy a successful implementation. If you do not perform an assessment, understand your requirements and choose the right option, you are likely to fail in your initiative and your ROI and TCO will not meet expectations.
Small and medium sized businesses (SMEs) are often challenged to satisfy all the roles and responsibilities in the organization and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget and scheduling goals and get it all done.
Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ If your business is not already including this approach in analytics and decision-making, it is missing a crucial link to success. Self-serve data preparation and augmented analytics solutions are now more popular than ever. By democratizing data and improving data literacy, the business can do more with less. But the sheer volume of data within an organization can be challenging.
Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.
Business managers, owners and senior executives really want to do the right thing! The goal is always to improve the business, to hire the best staff and to satisfy customers and partners. To do that, the business must build a foundation of business processes, policies, technology and software that will support goals and objectives and make it easier, more timely and more efficient to perform tasks and complete activities.
The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.
