Data-driven organizations are more likely to report significant improvement in decision making. Data-driven decision making improves the speed, quality, and accuracy of decisions, thus reducing risks, errors, and losses.
By giving team members access to data and the ability to analyze it on their own, self-service analytics can save time and resources while improving the accuracy and effectiveness of customer relationship activities.
Learn how RevOps teams can effectively use self-service analytics to drive better results and make more informed decisions.
Self-service analytics is a powerful tool that can help marketing teams make data-driven decisions and optimize their campaigns. By giving team members access to data and the ability to analyze it on their own, self-service analytics can save time and resources while improving the accuracy and effectiveness of marketing efforts.
No-code or low-code business intelligence tools offer the opportunity to develop enterprise level applications for analytics and reporting dashboard quickly and cut down costs effectively. This article provides a summary of low-code development BI solutions and the advantages of using these solutions.
The rebound and rebooting of economies in 2022 witnessed a shift from Data Intelligence to Decision Intelligence. Business leaders have realized the importance of insight-driven decision-making. Here are our top 10 predictions on how analytics will drive business operations in 2023.
Understand the power of Contextual Decision Intelligence in today's world and how it can transform the way you use data, your decision-making, and even your business.
Embedded analytics is an integral part of users' activities to encourage insight-driven decisions. Incorporate an analytical search box into B2B and B2C apps and portals.
Decision intelligence democratizes analytics and empowers anyone to ask questions, without much efforts and time delays. It explains “what” happened, uncover “why” it happened, and recommend “how” to proceed in the best possible manner.
Search-driven analytics empowers business users to converse with enterprise data in natural language for instant insights, improving analytics adoption & customer experience.
Data democratization is the process of making data not just available and accessible but also understandable, consumable, and actionable. Learn how to solve challenges, make data consumable and make self-service platform available to all business user - not just the analysts.
Understanding customer behaviors & trends is the biggest goal for organizations. Learn how to calculate important customer success metrics to have them engage with the brand.
Learn how to select a modern self-service analytics platform that enables business users to explore data on their own. users can get accurate answers in a timely manner, without delay or dependency, thanks to a simple search interface and ask everyday questions in natural language.
A modern data stack is a set of tools used to extract, store, process, analyze, and present data. Learn how MachEye helps businesses unlock growth with an end-to-end solution for ad-hoc analysis, visualization, observability, and governance.
While Google search focuses primarily on relevance and performance, an enterprise search technology must also pay attention to the presentation aspect. Without the right presentation, the answers are neither intuitive nor insightful, and might pose as product bugs.
Explore how augmented analytics benefits business intelligence processes by facilitating decision-making, democratizing data across multiple functions and making companies more agile.
An intelligent search technology offers the ability to understand a user’s natural question, even those which are incomplete or ambiguous, and provides precise results.
Self-service analytics has proven benefits that enable users to make key decisions based on their own queries and analyses. But is that all? Know the 7 major benefits of adding a self-service Analytics platform to your data stack.
Creating a self-service analytics environment can be easy when you couple innovative technology with the right data strategy. These best practices can get powerful insights into the hands of your users.
MachEye transforms the paradigm of analytics by answering "Why" metrics change, finding root causes behind critical business metrics, and making insights actionable.
MachEye's Top 10 predictions for 2022: How analytics will transform with decision intelligence, Why Analysis, democratization of AI, search based analytics, and data observability.
What's the difference? Find out how analytics capabilities have evolved from mere data reporting and business intelligence to its most advanced form today – Augmented Analytics.
In the race to win new customers and provide personalized experiences, marketers rely on analytics to help them extract insights from a wealth of customer information. Augmented analytics helps marketers make insight-driven decisions to convert prospects and maximize ROI.
Augmented analytics, powered by machine learning, enables business users to receive actionable intelligence from data without explicitly asking questions.
Conversational analytics tools use voice and chat to help users search for and generate insights in natural language. Find out how to quickly augment BI with conversational experiences!
People love stories. However, effective data storytelling is not achievable with legacy BI tools. Find out why audio-visuals are the only way to convey complete intelligence and tell the "What, How, and Why" story in your data.
Although everyone in the world has been using consumer search technology like Google for over 2 decades now, enterprise companies haven’t adopted its benefits to empower its business users. Enterprise search technology appears deceptively simple to build and many companies claim they have it, but delivering accurate answers is extremely difficult.
Self-service analytics is a requirement for data literacy. Businesses can now empower every user to become an augmented consumer of data insights for better and faster business decisions.
Developers and players alike utilize data analytics to revolutionize gaming: not only to make better games, but also to become better at playing them.
Search-based analytics augmented with AI empowers business users to answer ad hoc questions and guide decisions with insights. Learn how to maximize the value of data and achieve self-service BI instantly.
Augmented Analytics, the latest BI innovation, fuses cutting-edge artificial intelligence technology with data storytelling and automation. Augmented BI Platforms enable last-mile intelligence for business pros and democratize business insights.
Given fierce competition in the retail industry, companies need to leverage data analytics to compete better in the market. Retail Business Intelligence unlocks the hidden potential of data and helps companies understand consumer insights, manage inventory, identify anomalies, and optimize costs.
Throughout 2020, one set of numbers overwhelmed us through every medium – the daily mortality rate. While mortality rate in the USA grew by 14.6% in 2020, New York saw the highest surge of 35.3% in fatalities. MachEye aims to demystify this mortality data.
Retail analytics can uncover insights that help retail businesses overcome the challenges of strategizing for diverse categories, sustaining in fragmented markets, and retaining customers.
Backpacking in national parks surprisingly increased in Q4 2020. Was this the COVID-19 effect? MachEye digs deep to find interesting insights on national park visitors and changes in their preferences.
Consumer Packaged Goods companies (CPGs) need to leverage data analytics and AI-powered BI insights to overcome changing customer behavior and loyalty.
2020 has been a year of outliers. What looked like a blip on the horizon became the most disruptive factor across industries and geographies. Here is a list of the top 10 data analytics predictions and trends that will thrive in 2021.
2020 acreage burned by California wildfires is 16 times larger than in 2019! The 6 audio-visual insights generated by MachEye to raise awareness. MachEye team used our AI-powered search analytics platform to perform this analysis to see where California stands compared to the rest of the United States.
Are we deriving enough value from data under the paradigm of “what you ask is what you see”? MachEye shatters this status quo with natural search and adds a “play” button to analytics with a YouTube-like experience.
One would have thought that the BI space is done and dusted and there is no more innovation to be done! But once you see MachEye, I guarantee that you will come to believe otherwise.
MachEye has simplified it to the point where anyone can easily get insights from enterprise data via natural search, AI-powered models, and interactive audio-visuals (read: animations with audio narration coupled with charts and graphs) in less than half a second.
MachEye is the only personal business companion built for every business user at an organization and for all their data. MachEye shatters the barriers that prevent organizations of all sizes from unleashing personalized BI for everyone.
