What do you do if your Business Intelligence (BI) strategy is falling behind the latest innovation trends?

I strongly believe in the following steps 1. Evaluate current status 2. Stay informed 3. Benchmarking 4. Invest in training 5. Embrace advanced analytics 6. Modernize infrastructure 7. Collaborate with IT 8. Iterative improvement 9. Engage stakeholders 10. Partner with experts

Evaluating your present BI configuration is essential to pinpoint areas that want enhancement. Examine the instruments, procedures for gathering data, and methods of analysis being used. Assess whether the collected data provides the information required to make well-informed decisions.

If my BI strategy isn't keeping up with new trends, here’s my plan: Learn about the latest: Check out new BI trends online and through industry news. Join events: Go to BI workshops and conferences to see what’s new. Talk with others: Connect with BI experts and groups for insights. Try new tools: Test new technologies in small projects to see their value. Train the team: Make sure everyone learns about new BI methods and tools. Update our plan: Adjust our BI strategy to include successful new approaches. Keep checking: Regularly review our strategy and make tweaks to stay current.

Begin by assessing your current BI setup. Evaluate the tools, data collection methods, and analysis processes in use. Determine if the insights derived from your data meet decision-making needs. Identify any gaps, such as data silos or outdated tools hindering advanced analytics. Understanding your current state is essential for progress.

After evaluating your present BI configuration, educate yourself on the most recent developments in the industry. Examine developments that allow for the quick processing of massive amounts of data and the discovery of hidden insights, such as machine learning, artificial intelligence (AI), and real-time analytics.

After assessing your current BI setup, familiarize yourself with the latest trends in BI. Stay updated on advancements such as artificial intelligence (AI), machine learning, and real-time analytics. These technologies can process large data volumes rapidly, revealing insights that may otherwise go unnoticed. Understanding emerging trends helps you make informed decisions about integrating innovations into your BI strategy.

When upgrading tools, don't just pick the next BI platform because it's newer. You have to skate to where the puck is going. Think about the big technological changes that are causing your workflow to become outdated, and find applications that are a 10x improvement over your current workflow, not just incrementally better.

All too often the checkbook comes out without having a good understanding of what your current tools are lacking. Both data and data visualization are moving really fast but it will be up to us data professionals where, how and why to innovate.

Upgrade your BI tools to take advantage of cutting-edge technologies that can handle large amounts of data, deliver insights in real time, and integrate seamlessly with other systems. You may increase the precision of data analysis and boost the effectiveness of the BI process by implementing newer tools.

It’s important to not only understand the landscape of the technology you are evaluating but understand the landscape of where your business is going and how this tool will need to be used and can it deliver on your 1/3/5 year goals. Anything longer in this age of AI will likely change before the time arrives. Align the industry innovations with the challenges you see your business trying to solve. Evaluate the company as much as the tool. Look past the sales pitch and into the team supporting the tool you’re choosing.

In times when your BI strategy lags behind innovation trends, upgrading your tools can serve as a vital step towards revitalization. Embrace the opportunity to explore advanced technologies that promise seamless integration, real-time insights, and scalability to handle big data challenges. By investing in these upgrades, you're not just modernizing your BI capabilities but also amplifying the accuracy and efficiency of your data analysis. This professional approach ensures that your organization remains agile in the face of evolving data landscapes, empowering informed decision-making and driving sustainable growth.

Investing in training is not just about getting your team up to speed with the latest BI tools and methodologies. It's about empowering them to be the drivers of innovation and change within your organization. Remember, a tool is only as effective as the person wielding it. So, let's equip our teams with the knowledge and skills they need to interpret data accurately and make data-driven decisions. It's not just an investment in their professional development, but also in the future success of your business. ??????

Na minha opini?o, o primeiro passo para implementar mudan?as numa estratégia de Business Intelligence que está atrasada em rela??o às tendências de inova??o é identificar as lacunas tecnológicas e de habilidades. é essencial realizar uma avalia??o honesta das ferramentas e processos atuais.

In a previous role, our BI strategy lagged behind innovation. Embracing change, we upgraded to modern BI tools with advanced analytics. This shift enabled real-time analysis of large datasets, empowering agile decision-making. The impact was profound, enhancing our ability to identify trends, anticipate customer needs, and optimize processes. This experience emphasized the importance of staying ahead in BI innovation to maintain competitiveness and drive business success.

You could question the need for the latest innovation trend in your BI strategy right now. Maybe you innovate in some other part of your IT or process landscape (new ERP? new logistics warehouse with automation?) and need BI to be a stable part of your architecture during that project. You can't focus on everything at the same time. BI should get a fair share of attention afterwards.