Financial Services: Rapid Adaptation to the Unforeseen Requires Enterprise Architecture

At this point, it almost goes without saying that the global pandemic completely upended the idea that companies could be prepared for anything. No amount of 5 year plans or cautious growth can help when your whole business is forced to close or all your workers stay at home. Organizations that survived and even thrived were those that were able to adapt their business models along with the supporting technology. The only preparation that proved valuable was being prepared to move quickly.

Adaptability is an easy gospel to preach for nimble startups and agile tech firms, but for banks and financial services companies you might as well start speaking Hungarian. Even if institutions can get a grip on the blockchain or can define DeFi, there are still huge regulatory barriers to everything a company tries to do.

This eBook will look at 4 major challenges facing financial services firms in the near future, and the potential solutions that can be delivered.

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CIO Challenges Mounting Technical Debt with an Unclear Roadmap

What are the main concerns facing Chief Information Officers today? Orbus Software have identified 8 major issues that every enterprise is likely to struggle with when it comes to meeting the demands of the digital age.

The concept of technical debt has been well understood in software development for decades, but it applies just as well to a firm’s overall technology infrastructure. Enterprises will often maintain legacy systems well beyond their useful life, or cut corners to meet project deadlines and then fail to adjust or update the technology workarounds used. As these old and low quality systems proliferate, costs rise and it becomes increasingly difficult to enact changes.

This eBook will look at how technical debt will mount for businesses and the difficulties of addressing this problem without a clear and sensible roadmap.

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CIO Challenges Architects Constrained by Existing Tools

What are the main concerns facing Chief Information Officers today? Orbus Software have identified 8 major issues that every enterprise is likely to struggle with when it comes to meeting the demands of the digital age.

The role of enterprise architecture is broad and has the potential to touch upon nearly every part of an organization. However, EA teams can fail to meet their potential due to being constrained by the tools they use, unable to access key information or deliver informative reports.

In this eBook, we’ll look at how the tools available to architects can prevent enterprise architecture from fulfilling expectations, and how the right capabilities can unlock their full potential.

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CIO Challenges Disconnected Silos of Data

What are the main concerns facing Chief Information Officers in the modern era? At Orbus Software we have identified 8 major issues that CIOs are likely to struggle with when it comes to meeting the demands of the digital age. In this eBook, we will examine the problem of data becoming siloed across the organization.

As the supply of data has continued to explode around the world, so has the management of data become an increasingly important issue. From security and privacy issues to data-driven decision making, getting all your data in one place, with a single source of truth, could be vital for maintaining a competitive advantage and retaining the trust of customers & regulatory agencies.

This eBook looks at how data silos form in organizations and the benefits that businesses can realize through a single source of truth that unites enterprise information.

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Don’t Settle For Retro Analytics

If you haven’t looked at your embedded analytics recently, you might be in for a BIG SURPRISE. SaaS product managers are discovering that their analytics platforms were built years ago, are woefully stuck in the past and are costing them a fortune. If you think your SaaS application might be suffering from RETRO ANALYTICS, don’t panic. Just download this free guide to learn more.

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Embedded Analytics – Build vs Buy

As a software company, you already know the value of data and analytics can bring to your business. That means the real decision is whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Fortunately, you can make the right decision by downloading Qrvey’s Build vs Buy guide for software providers.

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Embedded Analytics Product Fit Guide

Qrvey’s Embedded Analytics Product Fit Guide will walk you through the process of choosing an analytics provider and outline all of the steps involved. It was designed as a conversation starter to get you thinking about your specific needs, so you can align your requirements and priorities and ensure your embedded analytics solution is a perfect match for your needs.

View Now

Don’t Settle For Retro Analytics

If you haven’t looked at your embedded analytics recently, you might be in for a BIG SURPRISE. SaaS product managers are discovering that their analytics platforms were built years ago, are woefully stuck in the past and are costing them a fortune. If you think your SaaS application might be suffering from RETRO ANALYTICS, don’t panic. Just download this free guide to learn more.

View Now

Embedded Analytics – Build vs Buy

As a software company, you already know the value of data and analytics can bring to your business. That means the real decision is whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Fortunately, you can make the right decision by downloading Qrvey’s Build vs Buy guide for software providers.

View Now

Embedded Analytics Product Fit Guide

Qrvey’s Embedded Analytics Product Fit Guide will walk you through the process of choosing an analytics provider and outline all of the steps involved. It was designed as a conversation starter to get you thinking about your specific needs, so you can align your requirements and priorities and ensure your embedded analytics solution is a perfect match for your needs.

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DataOps: Aligning Business Goals with Data Strategy

As this research Harvard Business Review Analytics Services demonstrates, through DataOps, people, processes, and technologies across the organization begin to align. Teams that were split apart start working together, projects that took weeks to deploy now go live within days or hours, and outcomes are realized more frequently and more reliably.

It has never been more critical to be agile and data-driven than today. Read this report to learn about proven practices, pitfalls to avoid, and roads to DataOps success.

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Don’t Settle For Retro Analytics

If you haven’t looked at your embedded analytics recently, you might be in for a BIG SURPRISE. SaaS product managers are discovering that their analytics platforms were built years ago, are woefully stuck in the past and are costing them a fortune. If you think your SaaS application might be suffering from RETRO ANALYTICS, don’t panic. Just download this free guide to learn more.

View Now

Embedded Analytics – Build vs Buy

As a software company, you already know the value of data and analytics can bring to your business. That means the real decision is whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Fortunately, you can make the right decision by downloading Qrvey’s Build vs Buy guide for software providers.

View Now

Embedded Analytics Product Fit Guide

Qrvey’s Embedded Analytics Product Fit Guide will walk you through the process of choosing an analytics provider and outline all of the steps involved. It was designed as a conversation starter to get you thinking about your specific needs, so you can align your requirements and priorities and ensure your embedded analytics solution is a perfect match for your needs.

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DevOps: Taking Your Infrastructure to the Next Level

High-performing DevOps teams state a 106x faster lead time, and a 7x lower change failure rate, than their lower-performing peers in a 2019 DORA/Google Cloud survey.

Already sold on DevOps? How well is your DevOps organization performing? What's your next step?

Join discussion on how simulation can help you level up your DevOps practices.

What you will learn:

  • How to remove bottlenecks caused by lack of hardware availability
  • Why (and how) choosing accuracy vs. speed may help you go faster
  • How nondestructive testing can save you money
  • How to test on 1 or 100 devices without doing 100x the work

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