An advanced analytics solution that is designed for augmented analytics, must be easy enough for the average business user to achieve results without IT skills or the skills of a data scientist. When a business user can leverage clickless analytics search capability, the user can achieve rapid, clear results and use those results to solve problems, share information and optimize opportunities for the business.
Wise business managers are embracing the Digital Transformation initiative in an effort to improve accuracy, productivity and the integration of technology and analytics within the organization. Augmented Analytics is a logical and critical addition to the Dx initiative and will significantly enhance the success of the Digital Transformation agenda. When a business wishes to consider and implement a Digital Transformation and Augmented Analytics initiative, it must shift its cultural assumptions to support continuous improvement. There will be no Digital Transformation or Data Literacy success if the enterprise does not embrace the concept of continuous improvement.
When a business is considering an advanced analytics solution, it must sell its management team and investors on the value and benefit of that solution and the merits of implementing such a solution or upgrading an existing solution.
Creativity is the lifeblood of an enterprise! But, it is easy to get into a rut and do what has worked in the past. If a business is to succeed, it must constantly generate new ideas and new ways to address the market and its consumers. Augmented Data discovery and the new world of self-serve tools has added an interesting dimension to this discussion as it encourages business users to become Citizen Data Scientists and encourages organizations to embrace data democratization.
Smarten is pleased to announce SmartenApps, its newest addition to the Smarten augmented analytics suite of offerings. The Smarten: eCommerce Analytics for Shopify by Elegant MicroWeb is an augmented analytics and reporting solution integrated with Shopify eCommerce.
Here’s some good news! If you want to predict or forecast results for your business, you don’t need to be a data scientist, a statistician, a business analyst, or a rocket scientist! Today, augmented analytics solutions provide all the help a business user will need to gather data, prepare it for analysis and then choose the right algorithm or analytical technique to analyze the data and get clear, easy-to-understand results.
Digital Transformation (Dx) is achieved when an organization plans and exploits digital technologies, workflow and processes, and its core capabilities and skills with an enterprise culture that evolves and shifts to engender a digital business model that advances business. Any Dx plan must include a review and appropriate modification of businesses processes, business models, operations, team collaboration and customer relationships.
As businesses struggle to remain competitive and to do more with less, every enterprise is looking for a way to optimize resources, and to get the most out of every team member. To do that, the business management team must leverage the knowledge and skills of each team member as those skills relate to their role and their responsibilities. Businesses must use team member knowledge gleaned from experience and education and merge that knowledge with data and analytics to make context-based, data-driven decisions.
Digital Transformation occurs when an organization successfully exploits digital technologies, its processes, its core capabilities and its enterprise culture to create a rich digital business model that will advance the interests and success of the business. To plan and execute a Digital Transformation initiative, a business must understand what Dx is and what it is not and it must use that knowledge to build a comprehensive view of the organization, its current and desired culture and technology environment and its team strengths and weaknesses and customer needs.
Download the Whitepaper: Understanding Digital Transformation: What it Is and What it is Not
Whether you know it or not, you know Natural Language Processing (NLP) very well! You use it all the time to ask questions on Google Ask a simple question, get a list of responses that meet your needs. What did we ever do before natural language processing? How else might we use it to simplify our lives?
