6 Smart & Essential Capabilities You Need to Sustain a Competitive Edge

Blog: The Tibco Blog

Reading Time: 2 minutes

To win in today’s data-driven competitive battlefield, you can rely on data scientists to understand not only what’s happening in the business in real-time—but more importantly—what is going to happen in the next second, minute, day, week, month, or even farther into the future.

However, there is a notable shortage of data scientists, which can limit your ability to benefit from the data-driven insights you need. Rather than spending time and money finding and hiring additional data scientists, or training business users to be data science do-it-yourselfers, maximize the impact of your current workforce with the most advanced data science tools.

Hyperconverged analytics is the fastest and easiest way to generate profound business insights in a tailored way, regardless of your team size or makeup. It allows data scientists to be more productive with technologies like automated machine learning (auto ML) without requiring them to be coding experts. Here are six capabilities of this technology to transform your business into a strategic leader:

1. Democratize Insights

You need to deliver actionable insights to the right individual, at the right time, within the right context. AI-infused applications go beyond the rearview mirror; they provide you with foresight, optimization, and what-if scenario analysis to ensure that you and your organization make the best possible decisions.

2. Eliminate Mundane Processes

Artificial Intelligence (AI) quickly surfaces insights from your data to automatically correlate and provide best-practice visualizations, eliminating the need for human intervention. This automation allows for fast insights for all business users and citizen data scientists.

3. Accelerate Productivity

Give your data scientists complete flexibility with an end-to-end data science and machine learning platform like TIBCO Data Science. This accelerates productivity by eliminating the need for code, allowing data scientists to collaborate with machine learning (ML) engineers efficiently.

4. Collaborate with the Cloud

Many data scientists look to platforms like Amazon, Google, and Microsoft to accomplish a variety of AI projects. With hyperconverged analytics, you can seamlessly use resources from any and all cloud providers, providing your organization with the ultimate flexibility.

5. Scale ML Ops

Create models with a data science and ML platform, and deploy, distribute, and monitor the models to target business systems. With model ops, you can create AI-infused business applications for any area of your company.

6. Take Visualization to the Next Level

Many business events and corresponding data are focused on specific locations. Visualizing the data on a map brings it to life, but new technology can do so much more. Depending on your use case, advanced spatial analytics can be used to understand and customize actions for factory floors, store layouts, human bodies, and much more.

Don’t Get Behind the Competition

Companies like Norfolk Southern and AA Ireland are already increasing operational efficiency, lowering costs, and making better business decisions with hyperconverged analytics. What are you waiting for?

Whether you are beginning your analytics journey, or are already an expert, hyperconverged analytics technology will help you accelerate your business. Check out this whitepaper to read more about how you can embed analytical findings and intelligence into all your business processes and empower your data scientists to outpace the competition.