If you own an auto mechanics business, you know that tools and equipment are key to your business success. Without the right tools, your mechanics cannot perform routine tasks, test modern automobile computerized systems or serve customers. The same holds true for any other type of business. Your team needs the right tools and equipment to perform routine tasks and to analyze and solve problems.
The use of business intelligence and business analytics is growing in every industry, business function and in companies of every size. 48% of small and medium sized business CIOs responding to a Gartner survey revealed that business intelligence (BI), data and analytics is one of the technology areas that will have the largest amount of new or additional spending.
How accurate is predictive analytics? Is it worth using for my business? How can forecasting and prediction help me in such an uncertain environment? These are all valid questions and they are they are questions your business (and your fellow business owners) must grapple with to understand the value of planning and analytical tools.
If your business has embraced the concept of Digital Transformation (Dx) and Data Literacy, it must plan for these initiatives in order to ensure that they are successful. The best way to achieve Dx and data literacy is to establish a technology environment that will support and encourage constant change and optimize resources and creativity – all in the service of supporting business goals and objectives.
Business competition is intense and markets are changing rapidly. What worked yesterday, does not work today and it is crucial for businesses to have an in-depth understanding of what is changing, how customer buying behavior is evolving, what new products and pricing plans are appropriate, where to invest for the future, what additional resources the business will need and when – in short, every detail of your business can positively or negatively impact your business and you need to understand current performance and future needs.
It is hard to overstate the benefits and advantages of advanced analytics. If an enterprise takes the time to review and document requirements for an advanced analytics solution and chooses wisely, it can improve its bottom line, optimize competitive strategies, plan for new products and pricing initiatives, establish marketing channels and messaging for target markets and customers and plan for resources, training, financial investment, supplier and partnership opportunities and more.
Data literacy is a very popular idea these days. As business users adopt and embrace data and advanced analytics, features like predictive analytics for business users make it easier for a user with average skills to leverage data to make decisions and share information and, in so doing, to become more literate about data analytics.
Augmented Analytics benefits a business, its users and its customers, partners and stakeholders. The advantages of augmented analytics are as numerous, varied and unique as the organization itself but, no matter the industry or type of business, one of the greatest benefits of augmented analytics is the availability and access to sophisticated analytical techniques, algorithms and processes for the average business user – WITHOUT training or skills in data science or analysis.
