Elegant MicroWeb is pleased to announce that its Smarten Augmented Analytics solution is once again included as a Representative Vendor in the Gartner Market Guide for Data Preparation Tools, published July 9, 2020 (ID G00719343).
Tag: Benefits of Advanced Analytics
Integrate Augmented Analytics as a Foundation for Digital Transformation!
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.
Get with the Program! Data and BI Democratization IS Crucial!
A few months ago, I was talking to a friend (someone who has worked, for years, in the IT industry) and happened to mention data democratization. In this age of modern business intelligence, augmented analytics and Citizen Data Scientists, one would think that every IT professional would know the term ‘data democratization’ and its crucial importance to the business environment and success. But, my friend did not know or understand the term or its importance. In fact, she was even a bit skeptical about the potential and the movement toward self-serve business intelligence and analytics.
Embrace Digital Transformation and Build a New Vision of Your Business!
What is Digital Transformation and why should you care about it? Let’s keep it simple. Digital Transformation involves the use of new, ever-changing digital technology in an environment designed to encourage problem solving and collaboration. Digital Transformation assumes that a business organization truly values data-driven decisions and wishes to improve its team member value and productivity by increasing their data literacy and comfort level with using data to make decisions.
What is Advanced Analytics and Is It Suitable for Every Business?
Advanced analytics is an aspect of data science, leveraging sophisticated algorithms, methodologies and tools to understand trends, and patterns, and predict future results. As this industry has evolved, advanced analytics technologies have incorporated machine and comprehensive visualizations to analyze and view data.
Predictive Analytics for Business Users = Assisted Predictive Modeling!
Are you tired of using guesswork and opinions to make business decisions? These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. If you are to be successful in business, you must be able to look into the future and plan for customer demand, new suppliers, inventory needs, financial investment, training and resource requirements, business locations, competitive response, pricing, new products and changes in customer buying behavior – just to name a few considerations!
Self-Serve Data Prep: You Can Have Data Agility AND Data Governance!
When you are considering an augmented analytics solution, you will want to look at the capabilities for self-serve data preparation (SSDP). This functionality allows business users to gather and prepare data for analytics without the help of data scientists, IT or data analysts.
Self-Serve Data Prep Balances Data Agility with Data Governance!
If your business understands the value of self-serve data preparation and augmented analytics, but your IT team or senior management is concerned about data governance and data security, you need not worry. You can use self-serve data prep tools and self-serve data ETL for data extraction, transformation and loading and still ensure appropriate data governance.
Advanced Analytics is the new frontier of competition and business success. While some businesses have the luxury of employing data scientists and professional analysts to help them sift through and analyze data, others do not have the budget or the structure to support these roles and, even those who employ professional data scientists do not have unlimited resources or budgets.
Data Analytics and Business Analytics: An Integrated Approach!
What’s the difference between business analytics and data analytics?
Business Analytics incorporates the skills, technologies, processes and practices to explore and understand exploration historical business performance and use that insight for business planning and issue resolution.
