With LANSA BI, communicators and stakeholders go beyond simple reporting. They produce transformational value by empowering audiences to draw more informed conclusions from data. Here’s how to tell more substantive, accessible stories that power smarter decision-making.

Key Insights

• Data storytelling combines data, narrative, and visuals to make business insights more engaging, memorable, and actionable.

• LANSA BI helps overcome common storytelling barriers such as complex visualizations, outdated data, and fragmented systems.

• Personalized, interactive storytelling formats like Data Stories and Data Present boost engagement and cater to different audience needs.

• Self-service analytics and NLQ tools empower users across all skill levels to explore and share insights without relying solely on data teams.

• Cohesive storytelling experiences are supported by LANSA BI’s embedded reports, streamlined workflows, and unified dashboards.

• Real-world use cases show how LANSA BI helps improve decision-making in industries like healthcare and finance by transforming how teams engage with data.

What Is Data Storytelling?

Data storytelling is the act of communicating data insights via visualizations and narratives.[1] According to Harvard Business School Marketing Coordinator Catherine Cote, the process involves three core components:

1. Data: Data analysis lays the groundwork for the story you’ll tell. While there are different analytical approaches, your data must be accurate and complete to generate valid insights.
2. Narrative: This is the juicy story. The narrative specifies which insights you’ll focus on. It should also reveal the data’s context and actionable recommendations for your audience.
3. Visuals: Visualizations enhance memorability and clarity. Good storytellers use them to both highlight the data and reinforce the narrative.

Why Data Storytelling Matters

Data storytelling is about more than just talking about data. It’s a way to get the audience — including leaders, peers, clients, and other stakeholders — invested in the journey. Effective data storytelling skills are the difference between shared information and actionable organizational wisdom:

• People prefer stories over pure data: Narratives naturally kick mental engagement into high gear, compelling audiences to pay attention.[1]
• Data storytelling increases the likelihood of “a-ha” moments: Storytelling reframes data in meaningful and relevant ways. This can help people draw inspired conclusions and notice high-level connections. It also boosts the odds of remembering data.[2]
• Data storytelling enhances accessibility: Not all audiences are technically minded. Narrative explanation empowers everyone to engage with data and make better decisions.[3]
• Data storytelling unifies data narratives: Every dataset is open to interpretation. Storytelling helps align stakeholders with an organizational perspective. It permits open debate and independent analysis while guiding audiences toward optimal conclusions.

Where Data Storytelling Falls Short

Data storytelling isn’t perfect. The potential may exist, but implementations don’t always live up to it. There are a few common reasons why, particularly in the IBM i context:

Ineffective Narratives

The stories you tell with and about data must be compelling. However, this is harder than it sounds. Even in shared organizational environments, audiences don’t always prioritize the same insights. Time also plays a role — data can lose relevance with age.

LANSA BI makes data stories more timely, increasing their significance to audiences. It lets contributors, analysts, and business leaders collaborate, making it easier to adopt a narrative tone that boosts persuasiveness and strikes a chord with diverse stakeholders. LANSA BI’s Auto Refresh also keeps information accurate and up-to-date.

Overwhelming Complexity

There’s such a thing as communicative overload, and visualizations are a prime example. Studies have found that packing tons of information into your presentations doesn’t leave non-technical audiences feeling better informed. Instead, it often intimidates or overwhelms them.[4]

LANSA BI helps communicators selectively zero in on accessible narratives, using data views and visual elements to reinforce and organize key points. When it’s time to present, private and external reporting channels let you push different messages to different audiences. Each viewer enjoys an interactive, tailor-made insight consumption experience.

Low Engagement

Data storytelling needs substance, but a fancy-looking PowerPoint won’t cut it. If people have to work to glean insights from your narrative, they’re less likely to make it to the finale. Attention spans come at a premium, so your message must be engaging and digestible.

One 2024 study found that audiences identified relevant findings faster with the help of data storytelling.[5] Conventional visualizations may boost retention, but they’re less efficient than a solid narrative at communicating the big picture.

Unfortunately, many analytical experts lack storytelling proficiency. Crafting and sharing compelling stories fall by the wayside, leading to low engagement.[6]

LANSA BI’s storyboards let audiences play with data to boost uptake and retention. Viewers can explore the facets that make information interesting and discover meanings that resonate with them.

With LANSA BI, storytellers get to choose how they share and build more cohesive narratives with multiple formatting options: Data Stories and Data Present. These modes also offer convenient, mobile-ready options for consuming data in a news-like format.

Data Stories allows users to create narrative-driven reports that blend data insights with contextual commentary, while Data Present functions as a data presentation tool similar to slide-based presentations like PowerPoint but with the ability to embed live reports and charts.

Lack of Cohesion

Data storytelling’s power to simplify messages hides its complexity. From data sources to platforms, there are many moving parts behind the scenes. It can be hard to tell an impactful story, especially with legacy software.

LANSA BI powers cohesive storytelling starting with behind-the-scenes narrative building. Communicators can focus on meaning instead of struggling to master data-wrangling methodologies thanks to augmented analytics tools that facilitate self service analytics. Intuitive workflows and automation let users skip straight to insight generation.

LANSA BI also reduces cognitive load because there’s less to remember. For instance, Stories and Present modes collate data and insights from different tools and projects into one platform. Stakeholders can update organizations more uniformly without having to context-switch. Present mode even includes familiar graphic tools that anyone can use to create polished presentations.

Another powerful feature lies in LANSA BI’s operational reporting. You can embed BI reports directly into updates, so users never have to search for insights. Relevant data is always on hand, making it easier to apply what you learn.

How To Tell More Compelling Stories With LANSA BI

Using LANSA BI effectively is easy, thanks to its ergonomic workflows and innovative features.

Workflow Tips

• Use LANSA BI for data exploration: Storytelling starts with discovery, so lay the foundation before building visualizations. Try using LANSA BI’s NLQ queries and custom views to explore datasets from new angles and unearth hidden gems.
• Ditch data team bottlenecks: Data analysts play crucial roles in furthering organizational understanding. However, they shouldn’t be your sole source of answers. Make analysis a team effort by using LANSA BI to let all stakeholders actively participate in analytics.
• Build data visualizations into existing dashboards and IBM i apps: LANSA BI’s native integration facilitates data-driven decision-making and literacy at all organizational levels. Deliver insights where they’ll have the greatest impact.
• Encourage employees to share their experiences: Use LANSA BI’s employee blogging features to establish a data-first organizational culture. Stakeholders make excellent evangelists, so let them promote narratives of how they use data and inspire others to do the same.
• Use LANSA BI to keep people invested in their work: Your project management statistics shouldn’t just be for leaders. Embed updates directly into dashboards so that everyone can see progress, wins, and areas needing improvement.

Discover how data storytelling can drive smarter business decisions in our recorded webinar.

Real-Life Inspirations

Serving Patients with More Efficient Appointment Practices

In a modern healthcare system, LANSA BI could be used to refine admissions practices by helping stakeholders understand and act on data with customer-centric dashboards. By combining vibrant dashboards with automatic change updates, users can save time in identifying statistically significant signals.

Managing Hospital Incident Data for Better Care

In a healthcare setting that manages hospital incident data, LANSA BI can guide end-users within existing legacy applications and provide advanced analytics with rich, interactive storytelling elements to support smarter decision-making.

Gaining Perspective on Complex Lending Data

For organizations dealing with complex financial data, LANSA BI can be utilized to build clean financial management dashboards that expose lending patterns and KPIs across different operational contexts.

Understanding Customer Rewards Performance

For financial institutions looking to analyze customer rewards programs, LANSA BI’s Story widget and visualizations can help bring data to life to increase engagement by contextualizing performance across various retail categories.

Conclusion

Data storytelling is a powerful option for driving messages. It can boost retention and make insights more actionable, but it’s not flawless. Your strategies for crafting, telling, and sharing your story determine whether it will resonate with readers.

LANSA BI enhances data-driven teamwork with real-time analytics, promoting organic, relevant insight generation. It lowers the technical barriers that cause narratives to get lost in translation. In the process, LANSA BI enhances understanding, promoting more intelligent decision-making.

Discover more about integrating business intelligence into IBM i applications by watching this webinar. To see LANSA BI in action, check out this showcase, or get a demo.

References:

[1] “Data Storytelling: How to Tell a Story with Data.” Accessed: Jul. 17, 2024. [Online]. Available: https://online.hbs.edu/blog/post/data-storytelling

[2] “The Importance of Data Storytelling | JCU Online.” Accessed: Jul. 17, 2024. [Online]. Available: https://online.jcu.edu.au/blog/the-importance-of-data-storytelling

[3] “What is Data Storytelling? | A Definition from TechTarget.” Accessed: Jul. 17, 2024. [Online]. Available: https://www.techtarget.com/searchcio/definition/data-storytelling

[4] “Data Storytelling 101: How to Tell a Powerful Story with Data.” Accessed: Jul. 17, 2024. [Online]. Available: https://storyiq.com/data-storytelling/

[5] “Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?” Accessed: Jul. 17, 2024. [Online]. Available: https://dl.acm.org/doi/fullHtml/10.1145/3613904.3643022

[6] “Why data storytelling is so important—and why we’re so bad at it | Deloitte Insights.” Accessed: Jul. 17, 2024. [Online]. Available: https://www2.deloitte.com/xe/en/insights/topics/analytics/data-driven-storytelling.html

The post The Power of Data Storytelling With LANSA BI appeared first on LANSA.

Key Insights

• Traditional IBM i reporting systems lack agility, often requiring external tools and custom coding that hinder rapid insight generation and user accessibility.

• Data inconsistencies and silos are common, leading to decision-making based on outdated or duplicated information.

• Non-technical users face steep learning curves, making it difficult for them to explore data independently or gain value from self-service BI.

• Security gaps persist in legacy reporting setups, increasing the risk of data breaches and compliance failures.

• Modern BI tools like LANSA BI offer holistic solutions, delivering secure, embedded analytics with customizable dashboards, guided NLQ, and seamless integrations.

• LANSA BI enables strategic alignment, empowering organizations to unify data reporting, enhance decision-making, and modernize their IBM i ecosystems with confidence.

What Are Current IBM i Reporting Practices Missing?

IBM i reporting systems are typically built on a series of processes that include:

• Data Extraction: Collecting data from various sources within the IBM i environment.
• Data Transformation: Cleaning, structuring, and preparing data for analysis.
• Data Loading: Storing the transformed data in a format suitable for reporting.
• Report Generation: Creating reports that stakeholders can use to inform decision-making.

These processes form a solid foundation, but their implementation is often lacking. How? Current IBM i reporting practices tend to fail because they’re unwieldy.

Many enterprises rely on external tools for data extraction, transformation, and loading. These systems don’t always integrate well. For instance, many report-generation frontends are completely independent of other BI elements. In these situations, simple data management can require custom coding, which doesn’t lend itself well to generating rapid insights.

Then, there is the fact that the individual tools themselves can be hard to use. For instance, it may take in-depth programming or query language knowledge just to explore a database table. This poses a major hurdle for executives and decision-makers. Even worse, current BI practices routinely incorporate some degree of data duplication — so you can’t be certain you’re working with accurate information even if you get over the query-writing hurdles.

These realities make business intelligence less effective and secure, but modern tools like LANSA BI buck the trend.

By offering well-rounded capabilities, a security-first focus, and easy integrations with other systems, LANSA BI keeps your focus on the data instead of on maintaining complex BI frameworks. No matter how your IBM i reporting practices work or what backends you prefer, your whole team can create custom interfaces in minutes and interact with data at their own pace. LANSA BI makes insight generation more accessible to stakeholders, covers your entire data ecosystem, and saves labor with intelligent, focused automation.

Identifying Weaknesses in Your IBM i Reporting Strategy

• Poor Environmental Coverage: Achieving comprehensive reporting coverage across complex environments is challenging. Modern IT infrastructures often include multisystem, multi-partition, and multi-cloud setups, making thorough and accurate reporting difficult.
• Imbalanced Features: Many reporting tools excel in one area but fall short in others, leading to inefficiencies and increased workloads for data professionals.
• Misguided Automation: Automation can enhance BI processes, but some BI tools lack the flexibility to prevent data siloing, limiting the reporting system’s overall effectiveness.
• Disconnect Between Raw Data and Useful Insights: Raw data often requires significant transformation before providing valuable insights. Poor data integration and limited dashboard customization can hinder this process.
• Learning Curves That Impede Self-Service Analytics: Some IBM i reporting tools are too complex for non-technical users, making it difficult for them to explore and discover insights independently.
• Inherent Insecurity: Data security is a critical concern. Reporting tools that expose sensitive information increase the risk of data breaches and compliance violations.

Exploring Opportunities

Advanced BI tools offer several opportunities to improve IBM i reporting systems:

• Enhanced Compatibility: Modern BI tools integrate seamlessly with various applications and systems, creating a cohesive data ecosystem.
• Streamlined Automation: Effective automation reduces manual workload and accelerates data processing.
• Customizable Insights: Flexible dashboards and interactive data visualizations promote collaborative insights.
• Intuitive Self-Service: User-friendly interfaces and guided queries empower all stakeholders to explore data independently.
• Strong Security: Enhanced security features ensure data integrity and compliance with organizational standards.

Watch our recorded webinar on Business Intelligence designed for IBM i.

LANSA BI as a Solution

LANSA BI addresses the weaknesses of traditional IBM i reporting systems by offering a comprehensive solution that amplifies BI capabilities:

• Comprehensive Environmental Coverage: Supports multi-system, multi-partition, and multi-cloud setups, ensuring complete reporting coverage across diverse environments.
• Balanced Feature Set: Provides a wide range of compatible tools and applications to meet diverse user needs, promoting a more democratic data environment.
• Effective Automation and Integration: Integrates seamlessly with external applications and APIs, promoting real-time insights and data democratization.
• Customizable and Intuitive Tools: Offers flexible dashboards, guided NLQ, and low-code options to simplify data exploration and reporting. Watch our 5-min demo on IBM i dashboards and insights generation.
• Secure and Embedded Analytics: Provides data security through native embedding and robust role-based access control, maintaining control over who sees what at every stage. Watch our 5-min demo on embedded analytics.

Conclusion

Choosing an IBM i reporting tool that does data analysis is one thing; finding an analytics solution that aligns strategically with your business objectives is another. LANSA BI addresses the weaknesses of traditional IBM i reporting systems by offering comprehensive environmental coverage, a balanced feature set, effective automation, customizable tools, and robust security features. By addressing these gaps, LANSA BI helps organizations achieve strategic alignment with their business objectives, ensuring that data truly serves your business goals.

To learn more about how LANSA BI can refine your IBM i reporting approach and enhance your BI capabilities, explore our mini demos and webinars, or visit the LANSA BI product page and contact us for more information. Book a demo today to see how LANSA BI can transform your reporting system and help your organization achieve its business intelligence goals.

Through these enhancements, LANSA BI not only fills the gaps left by traditional IBM i reporting systems but also paves the way for a more efficient, secure, and insightful BI process. By embracing advanced BI tools, organizations can unlock the full potential of their data, drive informed decision-making, and achieve a competitive edge in their respective industries.

Resources:

[1] “Cluster limits – IBM Documentation.” Accessed: Apr. 11, 2024. [Online]. Available: https://www.ibm.com/docs/en/i/7.3?topic=capacities-cluster-limits

[2] “101 Shocking Cloud Computing Statistics (UPDATED 2024).” Accessed: Apr. 11, 2024. [Online]. Available: https://www.cloudzero.com/blog/cloud-computing-statistics/

The post Where Your IBM i Reporting System Falls Short and How to Address the Gaps appeared first on LANSA.

On the surface, both platforms look like great choices for business analytics. Each includes useful automation features, in-depth reporting, and support for diverse data sources. But LANSA BI and IBM Cognos Analytics seem motivated by distinct philosophies. Here is an impartial breakdown — and why you might choose one over the other.

What Is IBM Cognos Analytics?

IBM Cognos Analytics is a toolkit geared toward self-service business intelligence. It offers interactive tools for creating, viewing, and sharing dashboards and data visualizations.

Major Strengths of Cognos Analytics

One key aspect of IBM Cognos is that it tries to lighten data analysis workloads. IBM’s approach to achieving this has a few noteworthy aspects:

AI-Driven Automation & AI Assistant

Cognos reduces labor through AI-assisted automation, facilitating exploratory analysis, data sanitization, and chart building.

Diverse Data Source Support

Cognos integrates with various cloud or on-premises data sources.

User-Friendly Dashboards & Automated Data Models

Cognos includes dynamic, drag-and-drop capabilities. Users can also create data models with keywords.

Cognos Analytics Quick History

The Cognos brand started in 1969 as a business consultancy[1]. However, it did not break into business intelligence until the 1990s. IBM bought the firm in 2007, eventually integrating it into its larger BI arm.

What Is LANSA BI?

LANSA BI is a consolidated, collaborative IBM business intelligence tool. It simplifies self-service data exploration and explanation across organizational boundaries.

LANSA’s business intelligence offering includes customizable interactive business intelligence dashboards and view-centric workflows. This product also has a strong focus on secure, in-depth reporting.

Major Strengths of LANSA BI

One of LANSA BI’s biggest strengths is its embedded analytics feature. Although it supports standalone analytics, it offers more flexibility than many alternatives. Notably, you can easily integrate insights and intelligence into any IBM i application.

Natural Language Query (NLQ)

LANSA BI’s Natural Language Query (NLQ) feature allows users to interact with their data using everyday language. This makes analytics more accessible and intuitive, enabling users to perform complex queries without needing advanced technical knowledge.

Embedded Analytics

LANSA BI excels at embedding powerful analytics directly into business applications, enhancing decision-making processes without disrupting workflows. This feature ensures users can access crucial insights within the tools they already use daily.

Assisted Insights Generation

LANSA BI’s AI-assisted insights generation automates the discovery of valuable insights, empowering end-users to make informed, data-driven decisions efficiently. This feature acts like an “analyst in a box,” streamlining the analysis process.

Collaborative Data Stories

LANSA BI facilitates the easy sharing of interactive data narratives through its collaborative data storytelling features. This platform makes it easy to take a collaborative approach to business intelligence: teams can cooperate smoothly and share insights effectively.

Learn more about how LANSA BI empowers data storytelling.

Lansa BI Quick History

LANSA BI builds on Yellowfin, an advanced BI tool that has been gaining popularity since its 2003 introduction. However, LANSA has predated the engine for over a decade. Focused on accelerating IBM i modernization, the company is one of the original low-code providers for business application development. With the introduction of LANSA BI, developers can now deploy advanced business intelligence with less effort, gaining companies that much-needed data competency in the digital age.

LANSA BI and Cognos Analytics — The Similarities

There is some undeniable overlap between LANSA BI and Cognos Analytics. For instance, both promote a self service analytics that includes drag-and-drop dynamic content creation, interactive dashboards, and report generation. If all you need to do is build a custom data analytics solution your whole organization can use, you might get away with either option.

Few Barriers to Entry

LANSA BI and Cognos Analytics cater to low-cognitive-load, streamlined workflows. For instance, users can ask basic exploratory questions without data querying knowledge. Both options include visual data cleaning, sanitization, filtering, and modeling tools. Regardless of which tool you go with, SQL knowledge is not a prerequisite.

Data Visibility Options

This is a well-deserved win for both IBM and LANSA, clearly dedicating plenty of effort to making it easy for users to share reports and findings. For instance, it’s simple to set up subscribers who’ll receive published versions of your reports whenever they go live. You can also trigger actions using custom events or include reports and dashboards in web pages and mobile apps.

LANSA BI vs. Cognos Analytics — The Differences

IBM Cognos Analytics and LANSA BI can achieve many of the same things, but their approaches are different enough to merit attention.

Two Distinct Takes on IBM i Embeddability

IBM Cognos and LANSA BI both support dashboard embedding, but there is a big catch: you need IBM Cloud to make the Cognos Dashboard Embedded offering work[3][4]. That’s great if you like IBM’s enterprise cloud solutions, but not so much if you prefer other vendors.

By contrast, LANSA BI doesn’t enforce a specific cloud implementation on you — or even require you to use the cloud. With LANSA, embeddability is a core focus instead of feeling like an afterthought.

Integration Compatibility Distinctions

As you might expect from enterprise-oriented platforms, LANSA BI is compatible with other software and can integrate data with other IBM i platforms, unlike Cognos Analytics which can only integrate with supported versions of other Cognos products. With LANSA BI, you can expect integration with Db2 products and extend beyond data sources to connect with productivity and cloud-based applications for a more streamlined overall stack.

Different Flavors of Ad-hoc Query Guidance

IBM Cognos includes a Watson-powered AI assistant that responds to your questions. You can ask it to suggest help, show data sources, create dashboards, and show column details, among other things. IBM’s insistence on using a jack-of-all-trades general AI may not work in its favor, however.

LANSA BI’s assistant feels more productivity-focused. For instance, you do not have to ask it for suggestions; it offers them by default. Its prompts also revolve more around data analysis tasks, like filtering streams and refining database queries.

Despite both engines using natural language to cater to all levels of expertise, power users might find LANSA’s query engine less frustrating than mastering IBM Watson prompts. LANSA saves you the trouble of rifling through documentation with unambiguous prompt suggestions.

This difference may come down to pure preference. After all, everyday users won’t take long to graduate from relying on either assistant. LANSA’s inclusion of reusable, shareable queries and smart prompting just eases the learning process.

How Much Training Does It Take to Become a Master?

There is no shortage of training resources for IBM Cognos and the engine powering LANSA BI. However, you may need more training to coax Cognos into working how you want.

Multiple users on G2, Gartner, and other review sites seem to agree that Cognos has a formidable learning curve [5]. Those who are not data analysts may hit hurdles once they go beyond basic queries.

Handling complex tasks in LANSA BI also takes training. The difference is that this platform walks you through the process, and LANSA may be more invested in integrating tutorials into its application than IBM is.

LANSA BI Strays Closer to the Self-Contained Data Analytics Ideal

LANSA BI is fully featured, so you can use it without any extra tools. However, it also plays nicely with other technology. Built-in software integrations and official APIs simplify the path to successful integration. You can even include data streams and content from other BI platforms, like Tableau, in your reports.

IBM Cognos isn’t quite as versatile in this regard. On one hand, it does support APIs, database connections, and other add-ons. The issue is that IBM seems to be steering users toward other products in its portfolio. This is a reasonable business move, but what does it mean for users?

Sadly, there may be cases where you’ll resort to third-party or open-source code to simplify the Cognos integration process. This might not be a problem for smaller startups, but it could be an issue at the enterprise level. More complex software supply chains make for tougher governance and security.

Administrative Functionality Feels More Powerful With LANSA BI

This category is a close race, but LANSA BI may be easier to administer. Security is a good example.

Both Cognos and LANSA support role-based access controls down to the table row level, but Cognos limits you to using macro functions to filter data based on roles [6]. LANSA BI includes convenient access filters that automatically apply user mappings as needed [7]. It also supports high-level automation for any user security setting.

Overall, Cognos has some of the same capabilities, but some reviewers say it’s harder to use them effectively [5]. This is a running theme in many online reviews: IBM’s platform is powerful, but you should anticipate growing pains when it comes to administrative onboarding.

The Outlook on Future Support and Viability

One big elephant in the room with IBM Cognos is that some members of the target user base think it’s past its prime.

True, plenty of companies swear by Cognos, and it commands a noteworthy market share. However, some data analysts and BI professionals view it as a dead-end [8], [9], [10]. In other words, investing in this particular IBM offering might burden organizations with untenable technical debt as Cognos becomes a less popular career skill.

LANSA BI, on the other hand, is a fresher face on the block. The underlying Yellowfin engine and other LANSA products also have a good history of accessible support.

LANSA’s market positioning also seems like good news for users worried about long-term support. Although it maintains a diverse product suite, its offerings are more focused than IBM’s sprawling portfolio. These factors may make LANSA BI less prone to premature abandonment.

Use Cases and Key Takeaways

IBM Cognos and LANSA BI are both great data analytics and business intelligence tools. However, they cater to distinct use cases:

• If you’re in the IBM ecosystem and require comprehensive and integrated analytics, LANSA BI is the optimal solution. With its sophisticated features and unparalleled adaptability across diverse systems, it stands out as the prime choice for meeting your complex software requirements.
• Cognos Analytics only offers integration with supported versions of other IBM Cognos products. LANSA BI not only excels in the IBM ecosystem but also offers a tech-stack agnostic approach, providing seamless integration in multiple environments.
• Users who want to embed analytics in IBM i applications may be surprised to discover IBM Cognos isn’t necessarily the ideal choice, especially if you want to avoid the cloud. LANSA BI’s approach to embedding supports a broader range of technology stacks with minimal coding.
• IBM Cognos is an effective general-purpose analytics suite for users who aren’t experts in data exploration or reporting. LANSA BI also serves these use cases, but you may be able to graduate to advanced functions with less onboarding.

Invest in the Right BI Platform for You

Every organization has different BI needs, and your requirements are sure to evolve. No matter what platform you use to get the job done, business intelligence mastery doesn’t happen overnight: it takes time, experimentation, and stakeholder buy-in.?

There are plenty of BI tools that can help here and there, but only some offer the complete package. If you want your interesting data to translate into useful knowledge, you’ll pick a platform that supports you through the entire journey.

Learn how LANSA BI’s balanced approach to comprehensive data analysis and seamless embedded insights can transform your data analytics experience. Reach out to an expert today.

References:
[1] “Cognos,” Wikipedia. Mar. 09, 2024. Accessed: Apr. 05, 2024. [Online]. Available: < href=”https://en.wikipedia.org/w/index.php?title=Cognos&oldid=1212783745″>https://en.wikipedia.org/w/index.php?title=Cognos&oldid=1212783745
[2] “LANSA Developing Business Intelligence Tool – IT Jungle.” Accessed: Apr. 05, 2024. [Online]. Available: https://www.itjungle.com/2023/03/29/lansa-developing-business-intelligence-tool/
[3] “IBM Cognos Dashboard Embedded.” Accessed: Apr. 06, 2024. [Online]. Available: https://www.ibm.com/products/cognos-dashboard-embedded
[4] “Overview of Cognos Dashboard Embedded | IBM Cloud Docs.” Accessed: Apr. 06, 2024. [Online]. Available: https://cloud.ibm.com/docs/cognos-dashboard-embedded?topic=cognos-dashboard-embedded-overviewofcde
[5] “Compare IBM Cognos Analytics vs. Yellowfin BI,” G2. Accessed: Apr. 06, 2024. [Online]. Available: https://www.g2.com/compare/ibm-cognos-analytics-vs-yellowfin-bi
[6] “Set Up Row-Level Security in Data Modules by Using queryValue Function,” PMsquare. Accessed: Apr. 06, 2024. [Online]. Available: https://pmsquare.com/analytics-blog/2022/2/4/set-up-row-level-security-in-data-modules-by-using-queryvalue-function
[7] “Security, Permissions & Role-Based Access Options,” Yellowfin BI. Accessed: Apr. 06, 2024. [Online]. Available: https://www.yellowfinbi.com/evaluation-guide/security/security-model
[8] asensioman91, “Is IBM Cognos a dying tool?,” r/BusinessIntelligence. Accessed: Apr. 06, 2024. [Online]. Available: www.reddit.com/r/BusinessIntelligence/comments/17ijvhz/isibmcognosadying_tool/
[9] asensioman91, “Did I make a mistake starting my BI career with IBM Cognos?,” r/BusinessIntelligence. Accessed: Apr. 06, 2024. [Online]. Available: www.reddit.com/r/BusinessIntelligence/comments/1853t7n/didimakeamistakestartingmybicareer_with/
[10] alpacca1993, “Thoughts on Cognos BI tool and its sudden fall in popularity.,” r/analytics. Accessed: Apr. 07, 2024. [Online]. Available: www.reddit.com/r/analytics/comments/12ps7s7/thoughtsoncognosbitoolanditssuddenfall_in/

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