Embedded Analytics Tools

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Embedded Analytics Tools Buyer's Guide

Last updated on May 16th, 2019

Embedded Analytics Tools Bring Business Intelligence to Other Software

Embedded Analytics software brings the advanced reporting and data analytics capabilities of business intelligence tools to other kinds of business software. Its seamless integration and extensive customization make it an excellent solution for organizations seeking to dig into their proprietary data to glean insights and make more data-driven decisions. These decisions can range from individual customer nurturing to overarching future business goals and everything in between, all at your fingertips with embedded BI.

Executive Summary

  • Embedded analytics offer the benefits of a robust business intelligence tool with the flexibility and customization those solutions often lack.
  • Businesses can use embedded analytics to perform detailed predictive forecasting and performance management displayed in intuitive visualizations.
  • The basic embedded analytics features are embeddability, data management, embedded data visualization, embedded reporting, embedded analytics and security measures.
  • Advanced features users can expect from embedded BI include datasources integration, extensibility, availability, scalability and mobile support.
  • When selecting embedded BI software, follow these steps: ask questions, gather requirements, compare tools, shortlist vendors and select the best match.

Benefits of Embedded Analytics

Embedded analytics offer many different types of benefits. First, there’s the cost. Historically, robust reporting capabilities and BI dashboards came with a significant price tag — with the increasing accessibility of analytics technology, there are more affordable options out there every day. Embedded analytics takes this trend even further by offering lower price points than many BI platforms, extending accessibility to new markets.

Speaking of accessibility, embedded analytics offer another benefit: they don’t take the users out of the native software in which they’re working. For example, if a sales manager wants to create a sales report, instead of having to leave Salesforce and open Tableau, they can just do it straight in their CRM.

Plus, embedded analytics offer most of the same benefits as business intelligence. BI tools help users make data-driven decisions by analyzing and visualizing important business data. Their focus on gathering data allows users to get intimately familiar with their clients’ needs and behaviors in order to better connect with and cater to them.

Embedded BI also gives users the option to act preemptively rather than reactively — using predictive analytics, users can create detailed forecasting reports, test potential business plans and gauge how different courses of actions will likely impact their operation.

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Embedded Analytics Implementation Goals

Goal 1

Gain insight into daily operations

Embedded analytics generates up-to-the-minute reports on designated KPIs. This helps users understand what is happening statistically in different areas of their business. It also creates an understanding of customer behavior in order to better serve them.

Goal 2

Make predictions using forecasting and planning

Using predictive analytics, embedded BI helps users plan data-informed business strategies. By analyzing patterns in previous data, users can anticipate likely trajectories if they follow the same business model. They can also input variables for potential problems in order to plan how to react to them ahead of time.

Goal 3

Manage performance

Embedded BI creates detailed reports and offers real-time updates, allowing managers to manage sales performance in great detail. You can set alerts to go out when certain thresholds are met, so you’ll never be surprised by benchmarks.

Goal 4

Generate intuitive visualizations

Organizations no longer need to rely on data scientists to analyze complex strings of numbers — embedded analytics takes unstructured data and organizes it into easy-to-read dashboards.

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Embedded Analytics Basic Features

The following features all play a central role in software for manufacturing companies. While some vendors will offer more advanced versions of these features, you’ll want a basic level of this functionality within your embedded analytics software.

Embeddability Embedded BI solutions offer white-labeling which allow users to customize their solution. Multi-tenancy support ensures every instance of the software is unique. Version control stores previous versions of the software and globalization support offers customizations for operating language, reading direction, time zone, etc.
Data Management Data exploration and preparation features take unstructured data and organize it while discovering patterns and trends. Data blending and ETL (exchange, transform and load) tools allow this data to be drawn from multiple sources where it is then stored in an optimized data repository. Data modeling maps any trends into digestible visualizations.
Embedded Data Visualization Data can be visualized via interactive dashboards that allow users to drill-down or scale-up at will and explore their data. These visualizations help users comprehend complex data sets.
Embedded Reporting Reports are often portrayed in lists or tables. Users can create and distribute a range of report types in a variety of code-based languages and file formats. They can also set these reports to generate and even go out on timed schedules.
Embedded Analytics Embedded BI solutions can run diagnostic, descriptive, predictive and prescriptive analytics programs to draw different kinds of insights from data.
Security Through role-based access, single sign-on, user filtering, application activity tracking and more, embedded analytics ensures data security from a range of different angles.

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Advanced Embedded Analytics Product Features to Consider

Along with the key features needed in an embedded BI software system, there are several other features to consider. The following features are either not integral to a embedded analytics system or may need to be provided by a third-party software provider.

Datasources Integration This feature allows embedded analytics software to integrate data from sources like CSV, Excel, XML, Hadoop, etc. These can be both relational and NoSQL databases.
Extensibility Embedded analytics software has to scale, stretch and adapt as your organization does. It has to provide document APIs to update data source connections so users can build and then reuse templates again and again. They should also integrate with external ETL tools and web service integration protocols.
Availability Embedded analytics software (and all your business software) should offer high availability. This simply means that the software is usable most or all of the time. Redundant backup services and cloud nodes are some features to look for to ensure high availability.
Scalability When you grow, your software needs to be able to grow as well. Embedded analytics should be both vertically and horizontally scalable. They also need to be dynamic and automatically scale resources in order to meet varying throughput.
Mobile Support If you anticipate using mobile versions of the software, it should offer native mobile apps and a responsive design that translates the user experience from desktop to mobile seamlessly.

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Compare Embedded Analytics Tools Vendors: Selection Guide

Selecting the right embedded analytics tool for your organization may seem daunting, but it can run smoothly if you follow a few simple steps.

Gather Requirements

Rather than choosing the “best” software based solely on other people’s reviews, it’s important to choose embedded BI based on your business’s unique needs. We recommend identifying which of the features mentioned in the section above you will most likely use, or which ones are most crucial to you. It’s usually better to under-buy than over-buy, as additional modules and features often drive the price up on what was originally an affordable application.

To help you with this step, we’ve made an interactive requirements template. You can use it to identify your key requirements and create a guideline to follow when comparing features.

Embedded Analytics Tools Comparison

Once you’ve settled on a core set of requirements, you can start comparing different top embedded BI tools based on how well they perform for each feature. Different vendors specialize in different areas, so it’s important to rate them as objectively as possible based on how they’ll do the job for you, not on how well they can sell you a software system.

Check out this comprehensive comparison report that breaks down how embedded BI systems compare feature-by-feature. We recommend focusing on the platforms that best execute your most important feature, then working your way down your requirements list.

Shortlist and Demos

Use this feature breakdown to create a shortlist of five to seven embedded BI solutions that meet your needs. The next step is to narrow it down further based on price, UX interface, user support and other needs. First, you should read up on the vendors around the web. While reviews shouldn’t be the only source of information you use to choose software, they’re very useful to get an idea of how real customers have experienced a platform. This can help weed out any vendors that definitely won’t be a good match for your business.

Next, reach out to the vendors who made the cut and ask for price quotes and trials. This market price report can give you a general idea of what different solutions will cost, but pricing is determined almost entirely on a case-by-case basis, so it’s only an estimate. A price quote is usually free and will give you a firm idea of how much to budget for in addition to ensuring the vendor can actually deliver the requirements you specified earlier in the process.

Most software vendors offer free demos or trials of some kind, and it’s important to try it for yourself if at all possible. Usability is a common complaint of software users, so get familiar with the UX ahead of time. This is also the time to ask what kind of user support vendors offer. Some will include only email tickets and basic training where others offer advanced 24/7 live support and comprehensive training resources. Try to find a happy compromise between everything you could potentially use and the bare basics that you need. This should lead you to the best match for your business!

Questions to Ask Yourself

To help you with the above process, here’s a list of guiding questions to ask yourself as you define your requirements, compare the best embedded analytics software vendors and shortlist products:
  • What is my budget? Try to keep an open mind and be fairly flexible, but a general ballpark figure is always important to select systems in the right price range.
  • Do I want on-premise or cloud-based deployment for this software? Cloud-based offers accessibility from any device with internet connection and no-hassle updates. On-premise offers in-house customization options, hosted security and the ability to work offline.
  • Do I have other types of business software (ERP, CRM, accounting, etc.) that I need to integrate with embedded analytics? Is it one or multiple systems? Embedded analytics comes with robust integration capabilities, but it’s vital to know which systems you’ll need to integrate with to ensure compatibility.
  • How many users do you anticipate using the system? This not only determines your price range (as most software is billed on a user-license basis) but also the scope of your system. Is this only for sales or for your entire organization?
  • What kind of databases do I need access to? From NoSQL, Amazon database, SQL and more, you have to know what kinds of databases you’ll be drawing data from in order to select a system that can access them.

Embedded Analytics Tools Report

Expert recommendations and analysis on the top Embedded Analytics Tools

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Questions to Ask Vendors

Here are some guiding questions to ask potential vendors after you’ve created a shortlist:
  • What kind of support do you offer? Do they only offer email tickets, or is support accessible in real-time? Will training be performed by an on-site coach? Do they offer training videos? These are all resources to consider. Then, decide which you think are most important for your satisfaction as a customer.
  • How much will support cost in addition to the base cost of the software? Many offer different tiers of support based on subscription type. Find out what features are offered at your price point and if you’re willing to pay extra if you need additional support.
  • What other business software does this solution integrate well with? Some systems have native integrations with specific platforms, and others (like Epiccare EMR, for example) do not allow integrations with other software.
  • Does this system provide real-time data updates? Some reporting systems update in real time, allowing users to monitor changes as they occur. Others refresh on a set time interval or must be manually updated. Find out how this product provides data and decide if you’re satisfied with it.
  • What databases can this solution access? Some systems only offer certain types of database access based on proprietary or technological limitations. Find out what kind of database you draw information from, and ensure the system you’re considering has access to that type of database.
  • How intuitive is the UX? Some systems aren’t very user-friendly, and others may be too simplistic for an organization’s use. This can be assessed through reviews and trials, and is important to keep in mind so your employees are more likely to successfully learn to use  the system.

Final Thoughts

Purchasing embedded analytics software has the potential to change your business for the better in many ways. It generates insights into your business practices, allowing you to better serve your customers, monitor employee performance management, make forecasts and more. It has the ability to create easy-to-interpret data visualizations that explain complex data patterns, putting the power of data into the hands of every member of your organization.

Choosing embedded BI involves careful planning and preparation, but is an easily accomplished task with the right resources. Once users have prepared themselves by asking guiding questions, you can gather a master list of crucial requirements you need from embedded analytics software. Finally, compare different solutions, create a vendor shortlist, then request pricing information and demos from these vendors in order to make your final selection.

Now you should be prepared to select an embedded analytics tool that will help your business grow through the application of data. Get out there and work smarter!

21 Products found for

Embedded Analytics Tools

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Exago

User Satisfaction:
96%

Exago BI is a flexible and web-based embeddable BI solution that requires no plug-ins or desktop downloads. The product is designed for web applications, specifically for SaaS applications operating in multi-tenant environments. Exago's open API, extensible features, and fully customizable UI provides flexibility and control to integrate the product with the applications and multiple data sources. The features of the Exago include pixel-perfect reports, express reports, crosstab reports, report formatting templates, linked reports and drill-downs, customizable dashboards, dashboard designer, charting and graphing, geographical maps, administration via the web interface, OLAP and data blending. Its single sign-on system inherits the host application’s authentication protocols, maintaining pre existing security features.

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Windward Reporting and Document Automation

User Satisfaction:
94%

Windward Studios offers an embeddable reporting/docgen tool built around designing templates in Microsoft Office. The combination of Office and Windward's tags make the reporting process quick and easy by removing the work of hand-coding reporting templates. It’s designed to produce beautiful reports in a number of different formats, including PDF, DOCX, XLSX, HTML, PPTX and more. After embedding the Windward .NET or Java engine, users can merge data with their templates to generate reports documents. This includes, but isn’t limited to, SQL Server, Oracle, DB2, MySql, PostgreSQL, XML, JSON, OData, and more. A template can use multiple datasources in a single template.

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AnswerRocket

User Satisfaction:
91%

AnswerRocket supports some of the largest brands in the world with augmented analytics. Users type or speak business questions and get answers instantly. Answers are provided as interactive visualizations, accompanied with AI-generated insights that can be drilled into for deeper exploration.

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Looker Data Platform

User Satisfaction:
90%

Looker is a cloud-based business intelligence and analytics application for data discovery and visualization. It provides a responsive, mobile-friendly web-based interface which can be utilized by business users to analyze the data and derive meaningful insights. Users can view the source of visualizations to understand the source of the data and how it is processed. Looker is used by users of various business units in companies of all sizes and industry segments. Looker harnesses the power of the user's own database rather than using data extracts or parallel data pipelines. Looker connects to any relational database and automatically generates a data model from the database schema. Users can self-serve by refining the model to reflect the company's business logic and create various KPI indicators and dashboards to derive unique metrics.

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Dundas BI

User Satisfaction:
90%

Dundas BI is a powerful browser-based business intelligence solution from Dundas Data Visualization. It offers users the capability to generate interactive dashboards, customize their visualizations, build reports and drill down into data.This flexible BI solution with a responsive design lets users integrate data from any kind of source in real time. Released in 2014, it combines BI and business analytics capabilities into a scalable solution accessible from any device. Dundas BI can be used as a standalone system or embedded into other kinds of software.

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Board

User Satisfaction:
90%

Board is a fully-featured business intelligence platform, offering users business intelligence, business analytics and enterprise performance management under the hood. Board’s customizable and interactive dashboards give users the ability to see a high-level overview of their business, as well as drill down into their KPIs to assess business performance goals.This product serves mid to large companies across various industries. Board offers unique, customizable dashboards, which allow the user to dig down to the lowest level of details, while also giving users a comprehensive view of their complete business.

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Sisense

User Satisfaction:
89%

This platform is a business discovery, analysis and intelligence software solution that offers a back-end powered by an in-chip technology. This allows non-technical users to merge and analyze large datasets from a range of sources. It also provides a front-end that creates visualizations, reports and dashboards that are viewable on multiple device types. It is an agile and robust solution designed to bring advanced analytics capabilities to a range of technically-educated users.

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Logi Analytics

User Satisfaction:
86%

Logi Analytics, a computer software company headquartered in McLean, Virginia, United States offers interactive data visualization products for business intelligence and business analytics. It caters to SMEs, business units of large enterprises and Original Equipment Manufacturers (OEMs). It offers many features such as Low-Code Development, Open Web Architecture, Security Options, Single Sign-On Support, Themes Library, Theme Editor, Custom Styling Branding, Custom Plug-Ins, JavaScript Embedding API, Interactive Dashboards, Reports, SVG Charts, Data Blending Co-Presenting, Self-Service Analysis, Client-Side Interactive Visualizations, Exporting Capabilities, Workflow Management. Logi Analytics comes with four primary products which are combined as a single advanced BI tool capable of providing advanced BI features. The four products are Logi Info, a business analytics platform offering self-service analytical capabilities. Logi Vision, a data discovery application designed for business users specifically non-technical users to shape, analyze, and visualize data without IT assistance. Logi DataHub, a data virtualization product that connects, acquires, and blends data. Logi Ad Hoc, a self-service Web application that enables business users to create, manage, and share dashboards and reports.

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icCube – Embedded Analytics

User Satisfaction:
85%

icCube is a company founded and based in Switzerland provides BI software of the same name which can be fully embedded as an integrated solution and can also be hosted in a managed environment or installed locally, on premises. It applies cutting-edge advanced QA processes that ensure 100% client satisfaction. It strives for simplifying our client’s life with MIS or integrated Business Intelligence needs. It allows end-users to create or edit dashboards themselves and is capable of processing data from multiple sources in real-time. It is implemented in Java and follows J2EE standards. For the latter, it embeds both an HTTP server (Jetty) and a servlet container to handle all the communication tasks. Being an in-memory OLAP server, its server does not need to source its data from a RDBMS; any data source that exposes its data in a tabular form can be used. It uses Multidimensional Expressions (MDX) as its query language and several extensions to the original language such ad function declarations, vector, matrix, objects, Java and R interactions. icCube patented an MDX debugger. icCube supports a standard interface and a proprietary one. It is quite popular because of its unique and powerful BI features such as Interactive customizable dashboards, Drag-and-drop dashboard builder, Real-time analytical server, Embedded analytics for any program or application, White labelling, Up-to-cell level security, Integration with Enterprise or OEM architectures, Native R integrations for advanced forecasting, Real time-in memory server, Made for very sparse high dimensionality systems, Dynamic creation of new classifications / hierarchies (real time), Direct access to Java R from MDX, XMLA interface to integrate with external tools, PDF Printing, Corporate identity, Creating your own widgets, High-quality support and Quote-based pricing.

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Birst

User Satisfaction:
78%

Birst provides a next generation, cloud-based platform for Networked Business Analytics. Built with patented technologies, Birst puts the power of analytics in the hands of every information worker and dramatically accelerates the process of delivering insights.Birst’s unique Networked Analytics approach, helps organizations achieve a new level of trusted insight-driven decisions, by using smart technology to connect data silos and analytics from centralized and decentralized teams, into a trusted fabric of analytical insights for company-wide consumption and decision making. Networked Analytics has helped many Birst customers make better decisions, to improve profitability, reduce costs, increase revenues and transform the way they do business. Birst delivers the fastest time to value in the industry. Most Birst customers are in production and can see value from their data, within 90 days. Try Birst for free to see what it can do for your organization.

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Federal Solutions Provider for Analytics and Data Management

User Satisfaction:
n/a

cBEYONData is a purpose-built professional services company that specifically caters and supports mission-driven agencies and organizations with the enhancement and automation of business processes by providing products and services which are related to business intelligence, agile project and process management, geo-mapping, cloud migrations , dashboards, data management and data analytics. It offers various reporting, and visualization services for their customers. They brought rapid deployment of specific financial management reporting and compliance solutions to agencies and organization required specially for the CFO Offices. They capitalize these features to improve their own customer’s return on investment, thus achieving higher success and their own customer’s mission. They work closely with customers to refine their vision and address their challenges to ensure delivering the most appropriate solution to meet their customer’s business intelligence needs.

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Orbit

User Satisfaction:
n/a

Fast, Flexible, Self-Service Reporting:Orbit makes it easy for you to find a quick answer to any business question.With Orbit, you can build both operational and ad-hoc reports – at any time and from any device. You can run reports that you have already created or choose from the 1,000+ pre-built Finance, Supply Chain, and HCM reports that come with Orbit.Orbit’s user-friendly interface allows you to build, run, edit, and analyze reports – without help from IT. Orbit makes it easy to gain the insights you need to improve your processes and meet your business goals.

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JReport

User Satisfaction:
93%

JReport is an embedded analytics solution that empowers companies to embed the most precise, high performance reports and dashboards into web applications. The embedded analytics platform provides developers and users with a scalable, fault tolerant solution that’s easy to customize and work seamlessly as part of their applications on any platform, with any data source.With JReport, any user can leverage reports, dashboards and analytics functionalities from within the context of their application giving them precise presentation and interactivity of their data. JReport works with any application architecture and supports various methods of embedded on the front-end, such as using JavaScript APIs, and on the back-end, using Java APIs.

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WebFOCUS

User Satisfaction:
98%

The WebFOCUS business intelligence (BI) platform delivers rich, consumable, interactive information to the widest range of employees, managers, analysts, partners, and customers. WebFOCUS offers true do-it-yourself reporting with unmatched scalability.

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Izenda

User Satisfaction:
96%

Izenda is a software solution that allows users to embed reporting and analytics capabilities into other applications. It monetizes data, promotes data literacy, offers insights and sets users up to make data-driven business decisions.From ad-hoc reports to ongoing insights, this solution offers users a flexible range of data analysis features and visualization capabilities. It was designed for both developers and end users with a modern technology stack, flexible architecture and intuitive drag-and-drop interface.

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GoodData Embedded Analytics

User Satisfaction:
95%

This powerful analytics solution is a SaaS platform that combines, analyzes and visualizes the internal and/or external data of an organization in order to monetize that data. It aims to help businesses change the way they make decisions with a focus on data-driven best practices. GoodData provides an embeddable, customizable business analytics and intelligence solution that lets users process data, analyze trends and create visualizations that present information in an easily-digestible format. Users can interpret these visualizations to draw insights and make intelligent business decisions.

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MicroStrategy

User Satisfaction:
93%

MicroStrategy is a leading global provider of enterprise business intelligence software platforms, as well as mobile intelligence and network applications. MicroStrategy Technology Services ensure the success of your investment in our technology. In supporting the range of business intelligence tools and other resources that we offer, we provide unmatched customer service through commitment to customer satisfaction and personalized support.

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Jaspersoft Analytics Software

User Satisfaction:
93%

Jaspersoft's data analytics software is used to model, manipulate and visualize any flavor of data using OLAP or in-memory analysis in order to identify issues, spot trends and make better decisions quickly.

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Qlik Sense

User Satisfaction:
n/a

Qlik Sense is a data analytics platform that combines the power of artificial intelligence with the creativity of human intuition to help users make data-driven business decisions. This solution draws data from a variety of sources, organizes and filters it, and then creates intuitive visualizations of the data so users can more easily gain insights from patterns and trends discovered there.

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Data Gateway API

User Satisfaction:
n/a

Schema-less API layer for programmatic access to multiple data sources. Highly configurable, flexible and lightweight.

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Panintelligence

User Satisfaction:
n/a

Panintelligence is a self-service, easy-to-use business intelligence and analytics solution to company-wide reporting. It can display multiple data sources side by side, and the data shown is always live and up to date.Our reporting dashboard is highly secure, as it was originally development for the UK finance sector. It's now used by over 200,000 users in healthcare, education, local government, insurance, and more.Our BI dashboard makes it easy for anyone to visualise and interact with their data in real time, anywhere, on any device.

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Pricing & Cost Guide for Embedded Analytics Tools

See the Price/User for the top Embedded Analytics Tools… plus the most important considerations and questions to ask when shopping for Embedded Analytics Tools

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