Gur Steif

President, Digital Business Automation @bmcsoftware @bmccontrolm

[Gur Steif @gursteif]

It's been a great discussion, thank you for having me!

[James Maguire @JamesMaguire]

Thanks all! This has been another excellent #eWEEKchat. Serious insight today – great to see this monthly gathering. Stay tuned for next month’s chat!

[Gur Steif @gursteif]

A9: (2/2) #DataOps & the selection of the right strategic orchestration tooling will give you that agility to avoid the big punch & get up quickly if you do get hit. Success is always in the journey. We urge everyone to get on that journey ASAP. #eweekchat

[Gur Steif @gursteif]

A9: (1/2) As Mike Tyson famously said, “Everyone has a plan until they get punched in the mouth.” In business, this means you must plan to be agile & adapt quickly to your challenges. #eweekchat

[James Maguire @JamesMaguire]

Q9. A last Big Thought about data analytics – what else should managers/buyers/providers know about preparing for the future of data analytics? #eWEEKchat

[Gur Steif @gursteif]

A8: We are big believers in #DataOps as a practice. It is powerful because it aligns the data teams, the business leaders & the #IT operations teams focused on delivering real business modernization & innovation outcomes. #eweekchat

[James Maguire @JamesMaguire]

Q8. What forward-looking Best Practices advice would you give to companies to grow their data analytics practice? #eWEEKchat

[Gur Steif @gursteif]

A7: (2/2) All the #ML modeling in the world does you no good until it can serve a business outcome that changes the game for your customers – internal & external. #eweekchat

[Gur Steif @gursteif]

A7: (1/2) Naturally I’m biased. #ControlM, either on-prem or #SaaS, is how we answer this challenge for our customers. We help them simplify their most complex #data pipelines & application #workflows, getting them built, deployed, & running in production. #eweekchat

[James Maguire @JamesMaguire]

Q7. How do you recommend addressing this most difficult data analytics challenge? #eWEEKchat

[Gur Steif @gursteif]

A6: (3/3) It’s done today in pockets, but it’s time to scale – taking it from project to full-production in a matter of minutes as standard operations. #eweekchat

[Gur Steif @gursteif]

A6: (1/3) We believe operationalizing #data at scale & speed will continue to be a challenge. Data needs to be ingested, transformed, rationalized & presented to drive insight & action. #eweekchat

[James Maguire @JamesMaguire]

Q6. Looking ahead, what do you expect to be the toughest challenges facing the effective use of data analytics? #eWEEKchat

[Gur Steif @gursteif]

A6: (2/3) Creating an #orchestration framework that automates this for our customers irrespective of their application, data, & infrastructure technologies is our mission. #eweekchat

[Gur Steif @gursteif]

A5: (2/2) This may launch a whole new organizational challenge – building teams that can do this effectively. Much remains to be seen. #eweekchat

[Gur Steif @gursteif]

A5: (1/2) This is the $64K question. #GenerativeAI in particular holds amazing promise to mine the vast #data sets within your company. The challenge will be maintaining focus on business outcomes that drive top line growth and cost savings. #eweekchat

[James Maguire @JamesMaguire]

Q5. We know that AI and generative AI are revolutionizing enterprise tech. How do you expect AI to change data analytics practice? #eWEEKchat

[Gur Steif @gursteif]

@AndiMann True, but many business people now have technologists in their own org so they don't rely on IT as much other than as a source of data.

[Gur Steif @gursteif]

A4: (2/2) Both require building a #techstack that is #agile, capable, resilient, error-correcting, and automated. That’s where the rubber meets the road for ‘democratization’. #eweekchat

[Gur Steif @gursteif]

A4: (1/2) I see two sides to this that must come together to support the idea of #data democratization. Access to data is one side. Having the right, correct data available, for the right people and applications, at the right time, is the other side. #eweekchat

[James Maguire @JamesMaguire]

Q4. What about the trend toward the "democratization of data" – easier access to data. Is it real? Is it working? #eWEEKchat

[Gur Steif @gursteif]

A3: (2/2) #DataOps is becoming a very important organizational capability. #eweekchat

[Gur Steif @gursteif]

A3: (1/2) We see companies adopting #DataOps practices getting a very positive return on investment. We’re helping them integrate, automate, and orchestrate very complex #datapipelines into the business applications that deliver the desired results. #eweekchat

[James Maguire @JamesMaguire]

Q3. Clearly, enterprise data analytics strategy is in constant flux. What's driving it forward (or backward) in 2023? #eWEEKchat

[Gur Steif @gursteif]

A2: (2/2) Successful programs have a focus on clear specific business outcomes and strong sponsorship from senior business and #IT leaders in common. #eweekchat

[Gur Steif @gursteif]

A2: (1/2) Our customers, major global enterprises, are finding lots of success. We see this in many use cases from #supplychain optimization, to hospital network critical care resource planning, to preventative maintenance on production equipment. #eweekchat

[James Maguire @JamesMaguire]

Q2. Now to present day: In 2023, to what extent is data analytics living up to its promise as the great competitive tool? #eWEEKchat

[Gur Steif @gursteif]

@AndiMann It's easy to get lost in dreaming too big, but many of our customers end up delivering really cool data analytics solutions by maintaining their focus

[Gur Steif @gursteif]

A1: (1/2) To say it’s been rapid is an understatement. Most companies start w/a good strategy. #eweekchat

[James Maguire @JamesMaguire]

Q1. First, let's look back: How would you describe the evolution of data analytics in the enterprise over the last few years? Do most companies have an effective strategy? #eWEEKchat

[Gur Steif @gursteif]

A1: (2/2) A big challenge implementing the strategy has been getting applications that rely on highly complex data pipelines into production at scale to drive business outcomes. Getting to production is the hard part. #eweekchat