Comparing business intelligence and analytics solutions
The business intelligence and analytics landscape
Organizations started with legacy Bl tools, which have strong data-crunching capabilities but a process that is cumbersome, IT-centric, and slow. The next incremental improvement of BI and data discovery tools is much easier to use, but adoption of analytics remains a challenge, because the growth of data threatens to outstrip the capacity of some current platforms.
As data sizes are expected to continue increasing at a jaw-dropping 19,000% by 2025, many existing solutions buckle under the pressures of such big or disparate data, forcing users to rely on additional third-party tools to ensure steady and accurate results. Furthermore, most current solutions require users to change the way they work and get out of their standard workflow to find data, hope a dashboard exists that answers their question, and go back to their workflow.
Organizations already understand that they need to be data-driven, because all of this data holds so much untapped potential. However, they know they cannot rely on adoption-dependent analytics to be successful, and they need to embrace innovation. Optimizing analytics, maximizing its use and its benefits, involves a fresh approach that makes analytics a natural part of everyone’s day-to-day work. This is achieved by infusing analytics directly into workflows, processes, and applications so that intelligence is automatic, seamless, and unavoidable.
The future of analytics will see the robust, end-to-end scalability of business requirements found with legacy tools, combined with the agility and self-service capabilities of modern data discovery, in a new way that infuses analytics at exactly the right place at the right time to optimize results and maximize usability.
By leveraging technology like Sisense, organizations will be able to process large volumes of disparate data while dramatically simplifying its preparation so that everyone, regardless of skill level, can analyze, explore, and augment their intelligence with machine learning to uncover powerful forward-looking insights.
Sisense goes beyond business intelligence to market disruption with AI-driven technology that instantly infuses analytics everywhere.
Sisense Bl and analytics software overview
At Sisense, we think about analytics differently. We go beyond standard business intelligence to help organizations of all sizes achieve their business outcomes. As an innovation leader in the agile BI and analytics market and a complete business analytics platform, we future-proof your evolving data strategy by fusing your use cases, business objectives, and technical requirements together, regardless of your existing or future tech stack.
One platform for all skill levels and use cases
- Connect data from anywhere with access to your data of any size or location. Easily combine and clean data to leverage every important variable.
- Analyze and explore data, with or without code, to allow everyone to visually explore and interact with data in their own way — all in one platform.
- Augment every analysis with AI and machine learning in our patent-pending technology that powers built-in natural language capabilities and predictive analytics to ensure anyone can understand the impacts and reasons in the data.
- Infuse intelligence everywhere with unique actionable intelligence that goes beyond standard dashboards and reports — although we have that too — that can automate multiple steps in a workflow and make analytics a natural and intuitive part of the process.
What you can achieve: Scalable insights and value
Connect your data and get up and running instantly. Get fast results with an ROI of weeks or months. With our highly flexible platform, available on-premises, on the cloud, or in a hybrid format, you have accessibility and mobility of data and dashboards to everyone, everywhere. Skip the expensive IT investment and choose a subscription plan that gives you everything you need to succeed, with no surprises, ever.
Key criteria when considering BI and analytics platforms
BI and analytics evolution comparison
|Architecture||Which components of the Bl stack are provided:|
ETL, analytical database, visualizations
|Supported Data||Simple: One data source and a few tables|
Complex: Multiple data sources and multiple tables
|Scalability||The volume of data a single server can process and the number of concurrent users|
|Time to Deployment||The time it takes to launch the Bl solution|
|Data Model Development||How is data accessed and processed for queries and visualization|
|Data Preparation Responsibility||The ability to clean, structure, and join data sources for analysis|
|Solution Deployment: Server||On-premises, private or public cloud, multi-cloud and hybrid, desktop or web-based, managed services|
|Maintenance Costs||Varies: Based on the number of steps, resources, and time to make data performant and accessible to users|
|Reporting and Analysis Maintenance||The effort needed to produce reports and analysis on an ongoing basis: low, medium, high|
|AI and Machine Learning||The ability to infuse AI and machine learning into analytics, dashboards, and reports|
1. Data visualization tools
These tools will help you understand patterns, trends, and insights by transforming data into a visual context. They can connect to multiple data sources, both cached and live, cloud-based and on-premises, however large or small.
They enable you to conduct ad hoc analysis, and, as more data is introduced from multiple data sources, tools, and capabilities such as ETL, data blending, and SQL, they enable you to handle the dramatic increase in data volume and ensure that you optimize the impact of your analytics.
|Criterion||Data Visualization Tools||Sisense||Business Benefits With Sisense|
|Architecture||Separate tools, or modularized:|
ETL, analytical database, visualizations
|All-in-one||Flexibility to connect any existing infrastructure, lower TCO|
|Supported Data||Simple||Simple and complex||Lower IT burden to manage data model, views, and performance; ability to gather more value from more data|
|Data Scalability (Tables/Data/Users)||Optimized for 3-5 tables/2 GB/per desktop||Optimized for up to 25+ tables/500 GB/1000s users per server||Broaden business user audience who can explore data without increasing costs|
|Time to Deployment||Depends on complexity of data and project scope|
|Days/weeks||Faster ROI, instant insights|
|Data Model Development||Varies by vendor:|
|Extensibility & Embeddability||Varies by vendor:|
|Data Preparation Responsibility||IT, OBA SQL expert||Min. SQL experience/analyst||Lower operational costs leveraging existing skill sets and without additional training or consulting|
|Solution Deployment: Reporting & Analysis||Varies by vendor: desktop, web-based||Web-based||Flexible deployment, faster time to insight|
|Reporting & Analysis Maintenance||Medium to high, depending on IT requirements to make data performant and available||Low||Lower cost, lower IT burden|
|AI and Machine Learning (ML)||Limited AI and ML depending on the platform, may require additional products or programs||AI throughout with patent-pending technology that automatically highlights insights, built-in predictive analytics, deeper data exploration, and more||Infuse AI and ML into analytics, dashboards, and reports for a deeper exploratory environment and more ways to engage with data, leading to faster time to insight, action, and impact, and predictive analytics capabilities|
2. Legacy Bl tools
Legacy Bl tools are pieces of large-scale enterprise software that aim to provide a comprehensive solution to all of an organization’s data needs, from storage to reporting.
These solutions are powerful, robust, and rich in analytical capabilities and reporting functions, and the typical Bl project owner needs to be technically oriented.
There may be a long wait time for results as the expert will need to devote days or weeks to generate new reports or make changes to the underlying data model.
Legacy Bl tools are a good fit for larger enterprises and environments in which predefined production reports are built to support business processes and operational reporting.
|Criterion||Legacy BI Tools||Sisense||Business Benefits With Sisense|
|Architecture||All-in-one: ETL, analytical database, visualizations||All-in-one||Agility and flexibility to adapt to changing business conditions|
|Supported Data||Complex||Simple and complex||Lower IT burden that does not need to support OLAP technology|
|Scalability (Tables/Data/Users)||Optimized for up to 25+ tables/500 GB/1000s users per server||Optimized for up to 25+ tables/500 GB/1000s users per server||Broaden business user audience who can explore data without increasing IT resources|
|Time to Deployment||Months/years||Days/weeks||Faster ROI, instant insights to changing business conditions|
|Data Model Development||OLAP technology||Data mashup — ETL; create relationships among unaggregated data within many tables that are combined at time of query|
Direct query of data warehouse
Custom views (SQL)
|Increased agility and speed to integrate and explore data, lower IT maintenance and dependency on new reporting requests, IT has more time for value-driven activities|
|Data Preparation Responsibility||IT/DBA||Min. SQL experience/analyst||Lower operational costs, lower IT burden|
|Solution Deployment: Server||Varies by vendor:|
on-premises, managed service
|Private or public cloud, on-premises, managed service||Flexible deployment, extended value of infrastructure investments|
|Solution Deployment: Reporting & Analysis||Varies by vendor: desktop or web-based||Web-based||Flexible deployment, increased user adoption due to more accessibility|
|Reporting & Analysis Maintenance||High||Low||Lower cost, lower IT burden|
|AI and Machine Learning (ML)||No AI or ML available, requires separate product or platform||AI throughout with patent-pending technology that automatically highlights insights, built-in predictive analytics, deeper data exploration, and more||Infuse AI and ML into analytics, dashboards, and reports for a deeper exploratory environment and more ways to engage with data, leading to faster time to insight, action, and impact, and predictive analytics capabilities|
Sisense goes beyond business intelligence by providing organizations with the ability to infuse analytics everywhere, at any time: in both business workflows and new analytics products. Our radical innovation redefines every aspect of business analytics to make it easy for you to discover business insights from complex data — any data sources, any size. You will get up and running rapidly, so you can discover answers on the fly and deliver ROI in just weeks or months.
Our dedicated Customer Success Team will be with you at each stage of your Bl journey — from onboarding to launch and expansion — helping you develop a data-driven culture.
Sisense’s end-to-end, agile Bl platform is built to help you make smarter, faster data-driven decisions:
|AI-powered analytics continuum||End-to-end governance||Highly extensible||Cloud flexible|
|Unlock insights with code-free, AI-driven, or code-driven analytics.|
AI-powered throughout to augment data prep, minimize human errors, and deliver insights automatically.
Scale across all skill levels and use cases for an integrated analytics experience in ONE platform.
|Keep your organization secure with fine-grained control across all interfaces and users through multi-level security, extensive governance, and performance monitoring.||Highly extensible with best-in-class embedding and a fully customizable analytics platform via 450+ APIs, embed SDK and JS libraries that integrate analytics into internal business applications and customer-facing products||Cloud flexibility lets you scale on demand with cloud, on-premises, and hybrid architecture. Deep partnerships with AWS, Snowflake, Azure, and Google as well as our own managed cloud service.|
With our innovation and ease-of-use, we have gained recognition from peers and market analysts:
Our customers talk about Sisense as a game-changer
From innovative startups to Fortune 500 enterprises, thousands of customers worldwide leverage the power of Sisense to get the insights they need.
“We say ‘Sisense it’ now, when someone wants the answer to a question.”– Brent Allen, Director of Infrastructure and WebOps
“When I could go from concept to being in production with over 100 users in just 75 days, that was just something unheard of! That was probably my biggest excitement over the whole project.”– Malinda Jepsen, Business Intelligence Specialist
“The biggest win [with Sisense] is really allowing our clients to have a new way of interacting with data that they’re very familiar with.”– James Tickner, Head of Data Analytics for Corporate Solutions
“The teams at Luma Health were able to use data from Sisense to analyze, recognize, and address the unpredictable swings in patient behavior that COVID-19 produced, harnessing insights to create a surge of innovation for good.”– Aditya Bansod, Co-Founder and CTO
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“It’s all about what you do with the data you collect. Unless you have a clear method of slicing and dicing that data, and presenting it to users, it’s not really useful. With a tool like Sisense, it changes the game altogether.”– Shaul Shalev, Safety Analytics & Innovation Manager