Compare the Top Augmented Analytics Software Platforms in 2024

Augmented analytics platforms are software suites that use artificial intelligence and machine learning to generate insights, prepare data, and provide additional context around data exploration and analysis. Augmented analytics software enables data scientists, companies, and organizations to perform advanced data preparation, data visualization, and data analysis in order to better understand vast amounts of data across an organization, in order to gain valuable insights. Here's a list of the best augmented analytics platforms:

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    IBM Cognos Analytics
    IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user — whether data scientist, business analyst or non-IT specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deeper understanding of outcomes and challenge the status quo. Visualize, analyze and share actionable insights about your data with anyone in your organization with IBM Cognos Analytics.
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    Looker

    Looker

    Google

    Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.
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    Domo

    Domo

    Domo

    Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.
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  • 4
    Microsoft Power BI
    Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a Forres
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    Starting Price: $10 per user per month
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    Tableau

    Tableau

    Tableau

    Gain, generate, and analyze business data and meaningful insights with Tableau, an integrated business intelligence (BI) and analytics solution. With Tableau, users are able to collect data from different sources such as spreadsheets, SQL databases, Salesforce, and cloud apps. Tableau provides users with real-time visual analytics and interactive dashboard that enables them to slice and dice datasets for making relevant insights and look for new opportunities. Tableau also allows users to customize the platform to serve different kinds of industry verticals like banking, communication, and more.
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    SAP Analytics Cloud
    Make better decisions backed by data with SAP Analytics Cloud, a business intelligence, and data visualization platform ideal for businesses of all sizes. SAP Analytics Cloud features include predictive analytics, digital boardroom, business planning, and reporting functionalities. SAP Analytics Cloud is available for deployment in the cloud and accessible via iPhones and iPads. SAP Analytics Cloud also offers multiple support options like online support, phone support, knowledge base, and online forum.
    Starting Price: $21.00/month/user
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    MicroStrategy

    MicroStrategy

    MicroStrategy

    Quickly deploy consumer-grade BI experiences for every role, on any device, with the platform that provides sub-second response at enterprise scale. Build consumer-grade intelligence applications, empower users with data discovery, and seamlessly push content to employees, partners, and customers in minutes. Using our open platform, inject the data you trust into the tools you love. Learn about MicroStrategy's #1-rated platform for Embedded Analytics. Deploy mobile intelligence solutions for every user on any device, customized for your organization with no coding required. The fastest, most efficient way to run your Intelligent Enterprise.
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    Sisense

    Sisense

    Sisense

    Embed analytics into any application or workflow to make critical decisions – with confidence. Infuse analytics into everyday applications and workflows to drive better, faster decisions, for your business and your customers. Integrate customized analytics into your applications and products to make analytics intuitive and user-friendly. Boost product engagement, adoption, and retention with the AI-driven predictive analytics platform built for business success. Prepare, analyze, and explore data from multiple sources with Sisense, a leading Business Intelligence (BI) reporting software. Trusted by industry-leading companies, such as NASDAQ, Phillips, and Airbus, Sisense offers an end-to-end, agile BI platform that helps business make smarter, faster data-driven decisions. Sisense features an open, single-stack architecture, best-in-class analytics engine, machine learning, and delivery of insights beyond the dashboard.
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    QlikView

    QlikView

    Qlik

    The modern analytics era truly began with the launch of QlikView, our classic analytics solution, and the game-changing Associative engine it is built on. It revolutionized the way organizations use data with intuitive visual discovery that put business intelligence in the hands of more people than ever. And we continue to lead the way with Qlik Sense, our next-generation analytics platform. With the Associative Engine, powerful augmented analytics and a governed multi-cloud architecture, it supports the full range of analytics use cases at enterprise scale. A groundbreaking analytics experience lets users freely explore data on any device using powerful global search and selections, smart visualizations and more. Empower everyone to make bigger, bolder discoveries with analytics apps and embedded analytics built into daily workflows.
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    Tellius

    Tellius

    Tellius

    A better way to understand the ‘what’ and ‘why’ from all your business data with AI-driven guided insights. Tellius Decision Intelligence enables business users and analytics teams to quickly understand reasons and key drivers for business behaviors and get instant answers using natural language. Automate complex data analysis to uncover root causes, understand key business drivers, compare cohorts, and identify meaningful segments in your data. Instantly surface insights hidden across your data silos. Extract important findings by analyzing billions of data points from multiple sources in seconds. Put advanced analysis into the hands of more people. Bring together the power of domain expertise and data science insights. Tellius provides a modern approach to decision intelligence that serves both the needs for ad hoc data exploration and visualization, combined with automated discovery of insights from machine learning, with cloud scale and elasticity.
    Starting Price: $495 per month
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    Yellowfin

    Yellowfin

    Yellowfin, Inc

    Yellowfin is a global analytics and business intelligence (ABI) software vendor with a suite of world-class products powered by automation. Yellowfin is recognized as an innovator by the world's leading analyst firms. More than 29,000 organizations and over 3 million end-users across 75 countries use Yellowfin every day. Yellowfin supports the builders, the designers, developers, data scientists and devops, who assemble and embed data solutions into business applications and workflows. The platform delivers multi-experience analytics that allows decision makers to see, understand and do more with their data Yellowfin is the only enterprise and embedded analytics suite that successfully combines action-based dashboards, automated business monitoring, data discovery and data storytelling into a single, integrated, seamless platform, and was recently named a Visionary for the third consecutive year in the Gartner 2022 Magic Quadrant for Analytics and Business Intelligence Platforms.
    Starting Price: $50.00/month/user
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    TIBCO Spotfire

    TIBCO Spotfire

    TIBCO Software

    TIBCO Spotfire® software is the most complete analytics solution on the market, enabling everyone to explore and visualize new discoveries in data through immersive dashboards and advanced analytics. Spotfire® analytics delivers capabilities at scale, including predictive analytics, geolocation analytics, and streaming analytics. And with Spotfire Mods, you can build tailored analytic apps rapidly, repeatedly, and to scale. With the Spotfire analytics platform, and the TIBCO Hyperconverged Analytics advantage, you get a seamless, single-pane-of-glass experience for visual analytics, data discovery, and point-and-click insights. Immerse yourself in both historic and real-time data, interactively. Drill down or across multi-layer, disparate data sources with fully brush-linked, responsive visualizations. Imagine, then rapidly build, scalable tailored analytics apps using the Spotfire Mods framework, to get all the power of Spotfire software in your own fit-for-purpose analytics apps.
    Starting Price: $25 per month
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    HyperSense
    HyperSense platform is an augmented analytics, cloud-native, and SaaS-based platform that helps enterprises make faster, better decisions by leveraging Artificial Intelligence (AI) across the data value chain. It easily aggregates data from disparate sources, turns data into insights by building, interpreting, and tuning AI models, and shares their findings across the organization. HyperSense is a one-stop solution that helps telecom enterprises accelerate business decision-making, leveraging self-serve AI. It offers a no-code, easy-to-use, quick-to-set-up environment, empowering business users, domain experts, and data scientists to build and operate AI models across the organization.
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    Kubit

    Kubit

    Kubit

    Take control of your‍ product analytics, and self-service optimization with no-ETL integration. Third parties own your precious data. Blackbox solution processes your data and hides how metrics are computed. Siloed analytics practices make your insights impossible to reconcile. No retrospective analysis, no data backfill. No self-service, non-exploratory analytics leads to communication gaps and delays. Kubit’s no-ETL platform works directly with your existing data model and enables self-service product analytics to drive engagement and improve retention. Out-of-the-box ready templates for query, funnel, path, retention, and cohort analyses. Designed for all product people to explore data and discover instant insights. Kubit works directly with your cloud data warehouse without the need for SDK or ETL jobs. We take full advantage of the rich data model you have already built. Detect anomalies and find answers quickly through our machine learning-based algorithms.
    Starting Price: $999 per month
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    AnswerRocket

    AnswerRocket

    AnswerRocket

    AnswerRocket, an American software company, has been innovating search-based data discovery analytics, via natural language since 2013. Their solution provides business the intelligence and analytics needed to run an organization that is data-driven in today's economy. Their elegant and top-notch engineered platform offers a more in-depth look at how data is analyzed and distributed throughout an organization, giving a business an unfair advantage against the competition.
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    Fosfor Lumin
    An AI-powered augmented analytics product, Fosfor Lumin is designed for everyone, to analyze data and share insights in seconds. Lumin instantaneously spots anomalies, trends, and patterns, and reveals insights on why something happened, what changed, what is the impact, and what will come next – and it does so autonomously, without relying on data experts or complex coding skills. Quickly understand key drivers for business behaviors with NLG-powered narratives and generate instant predictive forecasts and what-if scenarios for critical KPIs using natural language. Lumin proactively uncovers hidden performance patterns, trends, and anomalies for you with autonomous nudges guided by AI. It automatically detects, and identifies reasons for the deviations that are likely to result in potential disruptions.
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    ThoughtSpot

    ThoughtSpot

    ThoughtSpot

    Now anyone can find insights hidden in their company data in seconds. Use search to analyze your data and get automated insights when you need them. ThoughtSpot lets anyone ask any questions, find insights, and drill infinitely into their company data in seconds. Stop waiting for custom reports from data experts and instantly answer ad-hoc data questions on the fly. Empower non-technical people to answer their own data questions, while you build a single source of truth with security and governance at scale. Maximize the value of your cloud data warehouse and accelerate speed-to-insight for everyone across your business. Democratize access to insights in minutes and transform the way your company uses data. See how the most innovative organizations use ThoughtSpot to get more value from their data. Deploy as SaaS or software in your virtual private cloud. AI-driven insights so you know sooner.
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    Diwo

    Diwo

    Diwo

    Make faster, smarter business decisions with AI‑powered insight and actionable recommendations. Learn how Decision Intelligence (DI) is transforming analytics by enabling in-the-moment awareness of your business and immediate decision making. Diwo automates the process of analyzing, correlating and synthesizing your data to provide timely, relevant insights. It leverages AI and contextual intelligence to continuously monitor your data environment and deliver actionable recommendations. Diwo automatically surfaces opportunities and quantifies their potential impact to your business. More importantly, Diwo then provides recommendations that you validate and put into action. Diwo uses AI and contextual intelligence to automatically identify opportunities, detail the trade-offs, apply your business context and deliver the best advice to maximize results.
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    Course5 Discovery

    Course5 Discovery

    COURSE5 INTELLIGENCE LIMITED

    Get relevant, actionable, and human-friendly insights across multiple consumption mediums and personas to create an insights-first culture that rewards data-driven decision-making. Leverage the power of automation, accelerators, search index, machine learning, and natural language generation to deliver immediately actionable insights. Find insights easily through voice and text chat, search, email, document, and portal. Discover actionable opportunities with continuously updated data from retail, CPG, and technology. Self-learning knowledge base improvises insights generation, recommendation, and publishing. Model factory with industry-focused pre-trained machine learning models. Automated narrative generation service for publishing precise, contextual insights. Self-learning knowledge base improvises insights generation, recommendation, and publishing. Automated narrative generation service for publishing precise, contextual insights.
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    iGenius crystal
    Any teams can access key insights independently by just talking — no training or data literacy skills required. Crystal can be tailored to a specific organization’s needs, meaning your teams and crystal can combine to drive actionable insights. Crystal monitors your data 24/7 and can alert you on important changes, ensuring you will get the answers you need, as well as the ones you didn’t know you needed. Available on mobile and desktop, your teams can get immediate insights anywhere without sifting through reports. Bring your use case to life in days, not months, with crystal’s user-friendly setup. Complete with low-code no-code data source connection and setup, you can make more of your existing BI investments and get immediate business value.
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    HCL IntelliService
    HCL IntelliService is an AI–based services optimization platform that transforms customer service into customer success. The platform supports many connectors out of the box that ingests data across customer relationship management, sales force automation, enterprise service management, emails and document management systems in multi/hybrid cloud deployments. The AI platform leverages advanced technologies such as cognitive search, conversational AI, workflow automation, and augmented analytics to provide a game-changing customer experience while empowering service agents with sophisticated tools and analytics to reduce time to resolution. With HCL, leverage an AI-driven productivity platform to reduce customer support call volumes and service request resolution times across the customer service life cycle.
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    Qlik Sense
    Empower people at all skill levels to make data-driven decisions and take action when it matters most. Deeper interactivity. Broader context. Lightning fast. No one else compares. Qlik’s one-of-a-kind Associative technology brings unmatched power to the core of our industry-leading analytics experience. Empower all your users to explore freely at the speed of thought with hyperfast calculations, always in context, at scale. Yeah, it’s a big deal. And it’s why Qlik Sense takes you way beyond the limits of query-based analytics and dashboards our competitors offer. Insight Advisor in Qlik Sense uses AI to help your users understand and use data more effectively, minimizing cognitive bias, amplifying discovery, and elevating data literacy. Organizations need a dynamic relationship with information that reflects the current moment. Traditional, passive BI falls short.
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    Pyramid Analytics

    Pyramid Analytics

    Pyramid Analytics

    The goal of Decision intelligence is to empower employees with insights to make faster more informed decisions to capitalize on opportunities, take corrective measures, and drive innovation. Meet the data and analytics platform purpose-built to power faster, sharper decisions for the enterprise of the future. Driven by a new class of engine. Streamlining the entire analytics workflow. One platform for any data, any person, any analytics needs. This is the future of intelligent decisions. A whole new intelligence platform, combining data preparation, business analytics, and data science into one unified architecture. Streamline the entire decision-making process. So everything from discovery to publishing and modeling is inter-connected (and easy to use). Runs at hyper-scale for any data-driven decision. Unlocks advanced data science for any business need, from the C-Suite to the frontline.
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    Affinio

    Affinio

    Affinio

    Affinio is an Augmented Analytics company that leverages its custom graph technology to understand the billions of connections across big data. Affinio’s AI-based segmentation and visualization technology is putting the power of AI at the fingertips of business users around the globe so they can rapidly discover unique insights that power business decisions that win. There are oceans of information and growing seas of data. Everyone is building a data lake, but no one is building a boat. Affinio’s Analytics and Matchmaker solution are both available inside the Snowflake Data Marketplace. Run Affinio’s graph analytics on your own internal first-party PII data inside Snowflake’s technology. Anyone with or without a technical background can use Affinio to query their data, and their answer comes back in seconds, not days. Discover the overlap between your customer data and another company’s customer data, and then decide to enter into a clean room with them.
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    QiO Foresight Platform

    QiO Foresight Platform

    QiO Technologies

    Augmented analytical applications to predict and prescribe next course of action for performance, production, maintenance and energy. Configuration driven application services for user management, workflow, notifications, visualization and analytics. Support for any cloud provider: AWS, Microsoft Azure, Google and combination of deployments: public, private and edge. Full edge cloud deployment and management. Dynamic integration to any Industrial data source, any enterprise IT data sources and any sensors. Secure access control (machines and humans), data protection and encryption. ISO 27001 certified and externally validated by accredited agencies.
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    Oracle Analytics Cloud
    Oracle Analytics Cloud provides the industry’s most comprehensive cloud analytics in a single unified platform, including everything from self-service visualization and powerful inline data preparation to enterprise reporting, advanced analytics, and self-learning analytics that deliver proactive insights. With support for more than 50 data sources and an extensible, open framework, Oracle Analytics Cloud gives you a complete, connected, collaborative platform that brings the power of data and analytics to every process, interaction, and decision in every environment – cloud, on-premises, desktop and data center. Preparing and cleansing your data is an important step before visualizing a data set. For example, the set might have sensitive data such as customers' social security numbers that you don't want to expose.
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    Premoneo

    Premoneo

    Premoneo

    Augmented Analytics, action suggestions and predictive analytics to optimize business performance by making data-driven decisions in a cloud-based software developed according to each company’s needs from the main use cases. Discover your company’s pricing optimization level. Get an initial assessment of your pricing strategy. Answer a few questions about your company’s pricing process to get your score. your company to get your score and understand if there are potential improvement areas. Premoneo offers a complete suite of solutions for the management of key activities such as pricing, forecasting and segmentation. A technology that is continuously updated to respond to new market needs. The cloud solution, thanks to its modular structure, can be designed according to the needs of each customer and embedded into any existing IT environment.
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    bluecap

    bluecap

    bluecap.ai

    Automated summaries, notes, tasks seamlessly integrated into your collaboration and productivity suites. Augmented analytics enables actionable insights to enhance engagement and sentiment. Automate competitive intelligence, take prescriptive actions and stay ahead of your competitors. We interpret predictions made by ML models, investigate their behavior and optimize them while taking ethical considerations into account. bluecap™ uses breakthrough technology to encrypt data in use—while it's being processed. Collaborate with anyone while preserving the confidentiality of your public and sensitive data which previously have not been possible.
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    SAS Visual Analytics
    An intuitive, low-code visual interface enables you to create and deploy custom, natural language chatbots. Get text responses, access data, reports and visualizations, and even apply analytics and AI through a natural language, conversational interface. Configure bots within the SAS environment for easier access to insights, or connect to external services to roll them out to the world. Now getting insights from data is as easy as sending a message​. Quickly spot important relationships in your data using suggestions and clearly identified related measures. Use machine learning and natural language explanations to find, visualize and narrate stories and insights that are easy to understand and explain. Find out why something happened, examine all options and uncover opportunities hidden deep in your data. Automatically highlight key relationships, outliers, clusters and more to reveal vital insights that inspire action.
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    Seerist

    Seerist

    Seerist

    Seerist sifts through the noise of global chatter, forecasts potential threats, and offers insights enabling rapid, reliable decision-making when it matters most. Explore how Seerist delivers value to hundreds of intelligence and security users by enabling them to forecast and discover potential threats and event trends, monitor unfolding events, confirm the validity of those events, and then gather expert insight on what they mean for your organization. Seerist makes it easy for you and your teams to keep an eye on the locations that matter most to you. ​ From country or city watch dashboards to customized alerting to managing your assets in a single map view, Seerist has you covered. Seerist ensures you have confidence in the data you need to make decisions for your organization. ​ With access to curated sources and verified events, our users instantly access pertinent, precise, and up-to-date data.

Guide to Augmented Analytics Platforms

Augmented analytics platforms are a type of software that uses artificial intelligence (AI) to automate the collection, organization, analysis, and presentation of data insights. These platforms allow businesses to quickly gain insights from large amounts of data without having to manually analyze it all. They can be used for everything from predicting customer behavior to optimizing operations.

At its most basic level, an augmented analytics platform consists of three main components: a data warehouse, which stores all the raw data; a machine learning engine, which generates predictive models based on this data; and an analytics layer which provides visualizations and recommendations based on these models.

The first step in using an augmented analytics platform is setting up the data warehouse. This involves gathering all relevant customer and business-related information from various sources like spreadsheets, databases, websites, social media, etc., and storing them in one place. The next step is training the machine learning engine by feeding it large amounts of historical data so it can learn patterns and develop predictive models based on those patterns. Finally, the analytics layer will use these models to generate visualizations and recommendations that help people cut through the complexity of analyzing big datasets.

One advantage of using augmented analytics platforms is that they can help identify trends and patterns faster than would be possible with manual analysis alone. Additionally, because they are automated systems designed for scalability, they are able to process larger amounts of data than humans can easily handle on their own. This means you get more accurate results in less time than if you were doing everything manually.

Another benefit of using an augmented analytics platform is that it can provide valuable business insights which would otherwise go unnoticed or underutilized due to a lack of resources or knowledge about AI techniques needed for manual analysis. Furthermore, many such platforms also come with features like natural language processing (NLP ) which allow users to interact with their system via voice commands or text queries, making this technology even easier to use. Lastly, some augmented analytics platforms offer additional services such as real-time alerting so you don’t miss out on any important changes taking place within your data warehouses.

Overall, augmented analytics platforms are a great way for companies to gain timely insights into how their businesses operate, helping them make more informed decisions and achieve greater success.

Augmented Analytics Platforms Features

  • AI-assisted Data Preparation and Visualization: Augmented analytics platforms provide intelligent assistance to quickly and accurately clean, prepare and visualize data for analysis, saving time and energy for users. This feature uses a combination of machine learning algorithms and natural language processing to give you meaningful insights from your data in an intuitive way.
  • Automated Insights Discovery: Augmented analytics platforms use automated machine learning models to detect patterns, trends and correlations in large datasets that would otherwise be time-consuming for humans to uncover. By doing this, it helps businesses gain more understanding of their customers, optimize processes or identify new opportunities.
  • Self-Service Reporting & Dashboarding: Augmented analytics platforms empower users to create interactive dashboards with their own customized reporting capabilities. With a few clicks or taps, they can generate reports that provide detailed insights into the performance of their business operations with minimal effort.
  • Natural Language Generation (NLG): NLG is a technology that enables augmented analytics platforms to automatically summarize complex data into narratives written in plain English text or speech. NLG helps simplify the process of understanding information by reducing the need for users to interpret complicated visualizations themselves.
  • Explainable AI (XAI): XAI is an integrative part of augmented analytics that explains the rationale behind machine learning decisions using visual aids like heatmaps or graphs. This feature allows users to obtain context from predictions made by artificial intelligence so they can adjust model parameters if necessary without having to manually investigate every single prediction.
  • Data Federation: Augmented analytics platforms integrate data from various sources like databases, spreadsheets, web services, and more so it can be analyzed in one place. This feature helps users gain a full understanding of the context behind certain trends while eliminating the need to manually combine data from different sources.

What Are the Different Types of Augmented Analytics Platforms?

  • Natural Language Processing Platforms: Utilize AI and machine learning to extract insights from unstructured data sources such as text, audio, and video.
  • Predictive Analytics Platforms: Automate predictive modeling processes and quickly generate accurate forecasts of future events.
  • Prescriptive Analytics Platforms: Generate actionable recommendations for businesses by combining predictive analytics with optimization algorithms.
  • Statistical Analysis Platforms: Analyze data sets with advanced statistical techniques to uncover intricate patterns and relationships.
  • Machine Learning Platforms: Create sophisticated models that can process large volumes of structured or unstructured data in order to identify patterns and draw key insights.
  • Data Visualization Platforms: Help organizations gain insight into their data faster by providing interactive charts and graphs that allow users to explore trends in the data visually.
  • Dashboard Creation Platforms: Enable businesses to turn complex datasets into informative visual dashboards that enable teams to quickly analyze information and make decisions faster.
  • AI Platforms: Automate complex tasks by utilizing the power of artificial intelligence to process data and deliver accurate predictions.

Advantages Provided by Augmented Analytics Platforms

  1. Enhanced User Experience: Augmented analytics platforms provide an intuitive and easy-to-use interface for users to quickly analyze data and gain valuable insights. Advanced features such as natural language processing (NLP), machine learning (ML) algorithms, and predictive analytics help businesses automate repetitive analysis tasks.
  2. Increased Efficiency: By leveraging cutting-edge technology such as ML and NLP, augmented analytics platforms enable organizations to harness data from multiple sources more efficiently. Automated insights from the platform can help improve decision-making and save significant time in the process.
  3. Faster Data Exploration: Augmented analytics platforms make it simple to explore data faster. With automated processes along with graphical visualization capabilities, users can quickly get a visual representation of large datasets for a better understanding of trends and patterns over time.
  4. Improved Accuracy: Machine learning algorithms employed by augmented analytics platforms are designed to identify patterns in complex datasets that human analysts may miss due to the sheer volume of available data. This helps ensure accuracy in the generated insights, leading to better business decisions.
  5. Real-time Insights & Alerts: By leveraging real-time monitoring tools, augmented analytics are able to detect anomalies or changes quickly across multiple channels or systems within a business organization. This enables businesses to capture opportunities or respond to potential threats before they become major issues that impact operations negatively.
  6. Cost Savings: By automating mundane tasks, augmented analytics can help reduce operational costs significantly. This allows organizations to focus their resources and time on more important initiatives that give them a competitive edge in the market.

What Types of Users Use Augmented Analytics Platforms?

  • Business Executives: Executives use augmented analytics platforms to access and analyze data that is presented in an easy-to-understand format. With the help of these platforms, executives can make more informed decisions and discover new opportunities for their organizations.
  • Data Scientists: Data scientists are experts who can leverage augmented analytics platforms to quickly develop insights and drive business value from data analysis. They are able to utilize machine learning algorithms to identify patterns in the data, uncover anomalies, and provide predictive models for businesses.
  • Analysts: Analysts use augmented analytics platforms to collect, store, organize and analyze large datasets using powerful algorithms. This allows them to gain insights into customer behavior, market trends, competitive advantages, etc., which they can use to make better-informed decisions.
  • Developers: Developers enjoy the enhanced performance that augmented analytics offer when it comes to processing large datasets. They also benefit from the ability to customize these platforms according to their needs so they can develop applications that make use of the generated insights more effectively.
  • Marketers: Marketers rely on augmented analytics tools for gathering information about their target audience and measuring the ROI of campaigns or initiatives with greater accuracy than traditional methods allow. In addition, marketers can easily integrate these tools with other marketing software such as CRM systems or email marketing solutions in order to further enhance their effectiveness.
  • Business Process Specialists: Business process specialists use augmented analytics platforms as a complete solution for streamlining different processes within an organization such as budget management or operational planning activities. With efficient automation capabilities built into these systems, users enjoy improved productivity while reducing manual errors associated with traditional approaches of working with data sets.

How Much Do Augmented Analytics Platforms Cost?

The cost of an augmented analytics platform depends on the specific product and its features. Generally, these platforms range from a few thousand dollars to tens of thousands of dollars annually depending on the number of users, type of implementation and other factors like customer support services included in the agreement. In addition to the software purchase price, setup/configuration costs, hardware requirements, training fees, and ongoing maintenance/support may apply. The total cost for any particular deployment will depend on the individual customer’s requirements. Companies that require greater depth in their analytics (e.g., more sophisticated predictive analytics) may incur higher costs due to additional resources needed to implement those capabilities and the need for specialized consulting services or skill sets. That said, most modern augmented analytics platforms are designed for ease of use by nontechnical users; this helps keep costs down when compared with traditional BI tools.

What Software Can Integrate with Augmented Analytics Platforms?

Augmented analytics platforms are integrated with a wide range of software programs, such as business intelligence (BI) tools, data visualization tools, ETL tools, machine learning (ML) and artificial intelligence (AI) systems. The BI tools help to interpret the data by transforming it into meaningful insights. The data visualization tools enable users to explore the data visually using charts and graphs. ETL tools extract, transform and load the data from multiple sources into an operational database. ML and AI systems integrate with augmented analytics platforms to provide predictive models that can be used for forecasting future trends in the data. These advanced analytic methods deliver accurate predictions with minimal effort on behalf of users.

Recent Trends Related to Augmented Analytics Platforms

  1. Augmented analytics platforms are becoming increasingly popular for businesses and organizations of all sizes, as they provide a cost-effective solution for data analysis and reporting.
  2. These platforms are designed to automate many of the manual tasks that were previously required for data analysis, allowing users to quickly generate insights without the need for extensive programming knowledge.
  3. Augmented analytics platforms are becoming more powerful, with advanced features such as predictive analytics, machine learning algorithms, and natural language processing. This allows users to quickly identify patterns and correlations in large datasets.
  4. As data analysis becomes more complex, augmented analytics platforms are offering an increasing number of integrations with other software products. This enables users to create powerful dashboards and visualizations with the ability to connect to multiple data sources.
  5. The speed at which augmented analytics platforms process data is also improving, allowing users to create detailed reports in a fraction of the time it would have taken before.
  6. Augmented analytics platforms are beginning to incorporate artificial intelligence (AI) into their products. This allows them to automatically detect anomalies in datasets and recommend solutions based on predictive models.
  7. Finally, augmented analytics platforms are becoming easier to use due to advances in user interface design and user experience. Many of these platforms now feature intuitive dashboards and easy-to-understand visualizations that make it easier for non-technical users to access insights from their data.

How to Select the Right Augmented Analytics Platform

Utilize the tools given on this page to examine augmented analytics platforms in terms of price, features, integrations, user reviews, and more.

When selecting an augmented analytics platform, there are a few key factors to consider.

First, it’s important to understand the scope of your data project, including the types and volume of data you will need to analyze. Some platforms have more robust features that may be required for large-scale projects, while others offer basic tools that may be sufficient for smaller operations. Additionally, it is helpful to consider the complexity of the analysis you will need to perform – some platforms are designed for simple or basic queries, whereas other platforms specialize in complex predictive analytics or machine learning algorithms.

Second, it can be beneficial to examine the platform’s user experience, such as its level of intuitiveness and ease of use. Some platforms provide intuitive drag-and-drop functions while others require more advanced SQL scripting skills. It's important to assess how well-suited the platform is for your organization’s skill set so that users can get up and running quickly with minimal training and support from IT staff.

Thirdly, it is worth looking into any extra services offered by the vendor such as training resources or technical support options. Many vendors offer customized solutions tailored specifically for your business needs which can save time on implementation and speed up deployment cycles.

Lastly, cost should also be taken into consideration when selecting an augmented analytics platform – some may require ongoing subscription fees while others can be purchased outright with no added costs over time. Evaluating potential returns from improved efficiency or increased insights before signing up can help you determine which option offers the most value and return on investment.