March 26, 2021

Dispelling Myths and Smooth Transition from Traditional to Modern BI

Traditional to Modern BI

Dispelling 4 Myths About the Move to Modern BI

⚡ Quick Answer

Four myths keep organizations on traditional BI. That it already has the visual analysis and data exploration features — it does not, because adding or adjusting anything depends on IT. That modern BI is much the same thing — train and aeroplane reach the same destination very differently. That the shift cannot be justified — that is initial anxiety, not analysis. And that the transition is too complicated — which is a real concern, and the reason the right partner matters.

To match up with the modern demands, you must be planning to shift from traditional to modern BI. Do you find it a complex and muddled situation? You must be confused about where to start or several myths have disillusioned you like unworthiness, expensiveness, or time-consuming aspects. But the fact is something else, modern BI software like Tableau has just created gateways for many users to explore several unknown yet impactful real-time insights. Self-service BI nowadays helps the business users in getting useful insights and also enables them to grab and share meaningful data and all the possible visualizations.

Why embedding is the secret to effortless data access covers what self-service looks like in practice.

While there are multiple benefits of modern BI, yet many organizations are not in a situation to make a shift from traditional to modern BI. In this blog, we have aimed to kick out the myths of modern BI so that implementing it can be a smoother process.

If the worry is implementation rather than the tooling, common business intelligence pitfalls covers the three that sink most projects, and the role of data analytics and BI covers what you get when it goes right.

Traditional BI has all the visual analysis and data exploration features

1Myth 1

No, that’s not true. Many of the traditional BI tools have an old-aged process that needs manual intervention for accurate visualization. Adding, deleting, or adjusting something gets dependent on the IT team’s intervention and it obstructs the insightfulness and visualization.

On the other hand, modern BI solutions are smart tools and loaded with unlimited and quick self-service data exploration capabilities. Hence, no manual intervention or IT team dependence is required. Along with that, AI-driven features of modern BI help the users to explore the unexplored data insights.

Augmented data analytics and augmented data management are where those AI-driven features lead.

Modern BI is similar to traditional BI platforms

2Myth 2

No way, traditional BI cannot be equated with the features of modern BI. It is the same as comparing a journey travelled by train and an airplane. Both will help you to reach the same destination but the process, time consumed and experience will differ. Here are some points worth considering when buying modern BI tools –

1. Role of the IT team in the process of fetching data insights?
2. Does it scale up and out easily when required?
3. Is it user-friendly? Are users able to search and find answers to deep questions easily?
4. Does the vendor provide training?
5. Are vendors successfully fixing the technical issues?
6. Does it contain transparent licensing options?

Working through that checklist is exactly what the top five BI solutions is for, and data analytics for smaller businesses covers the lighter end of the market.

Stuck on the checklist rather than the decision?

Six questions are easy to write and hard to answer about your own estate. We help teams score candidate platforms against how they actually work.

Talk to Our BI Team

Shifting to Modern BI is not justified

3Myth 3

This is nothing apart from being the initial anxiety when investing time and money in modern BI.

Modern business analytic tools have immense capabilities to transform your business. Using it with a proper strategy, you will start getting faster results. With new insights, you will be able to make considerable decisions faster. Choosing a reliable partner will help you gain the real benefits of investing in next-gen BI platforms like Tableau.

For the evidence side of that case, see seven ways BI can improve your business, how business analytics fosters growth, how big data analytics impacts decision-making and the sectors making big in data analytics.

Transition to modern BI is too complicated

4Myth 4

With some anticipated roadblocks, dead-ends, or speed bumps, it is a legitimate concern to get worried somewhat. It is also not viable to keep the internal resources away from the strategic tasks for a longer period. But all these worries get sorted out when you have the right Tableau partner. With the right skills and expertise, they can help you with the smooth transition process.

The groundwork that makes a transition smooth is mostly upstream of the tool: data integration, the lake-versus-warehouse decision and a realistic scope for smaller teams.

Worried the transition will pull your team off everything else?

That is the one concern on this page we think is legitimate. The answer is sequencing, and a partner who has done it before.

Request a Transition Plan

A Confident Transition

A confident transition from traditional to modern BI becomes a happy going and smoother process by partnering with us. Our team of experienced data scientists is ready to do away with these myths and explore the unexplored. It’s time to join hands with us and cope up with the modern data challenges.

Where the practice has gone since 2021: data engineering and AI collaboration, how generative AI is redefining data engineering and whether your data is ready for generative AI.

Key Takeaways

Ready to move from traditional to modern BI?

Impressico helps organizations plan the shift, pick the platform and carry the migration — without taking the internal team off everything else for months.

🚀 Start a Modern BI ConversationCommon BI Pitfalls →

Impressico Business Solutions — business intelligence modernization, self-service analytics and data engineering for organizations outgrowing their reporting stack.

IBS
Article written by

IBS

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