Digitizing Banking Back Offices with Low Code Platforms

Modernizing the Back­ Office: Digitizing Financial Services with Low Code Platforms.

Banks today operate between two distinct worlds of back­ office and front­ office operations. Yet, most banks focus on optimizing the front­end customer experience. Oftentimes, this creates even more back­office manual processes.

On average, retail banks today have between 300 and 800 back­ office processes to manage and monitor. These processes leave the back ­office staff to deal with redundant tasks, excessive manual processing, and slow response times. This is why digitizing back­ office processes have the most potential on making monumental impact to the business.

Download Digitizing Banking Back Offices with Low Code Platforms and learn how easily you can digitize back ­office processes in weeks with low ­code platforms like TrackVia. TrackVia helps banks improve operations, customer experience, as well as data quality and accessibility.

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Banking on Automation for a Better Back Office

Financial institutions are counting on banking operations to help transform them into the bank of the future. But, most bank back offices still have between 300 and 800 back ­office processes to manage and monitor ­­ hampering their progress and making data breakdowns are inevitable. As a result, banks can’t bring new offerings to market quickly, and still deliver disjointed experiences that leave consumers unfulfilled.

It’s time for a better way to approach back office automation.

Download Banking on Automation for a Better Back Office and learn how digitizing your back office processes with a workflow platform allows you to:

  • Automate data collection to reduce errors and standardize your data
  • Digitize work flows to speed up end ­to­ end processing
  • Reduce operating expenses and improve the cost ­basis of consumer offerings

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Prevent Data Blackouts

Digitizing Solar Operations to Connect Field Data to the Office.

When it comes to the solar business, you’re only as good as the data coming from the construction, operations and maintenance, and storage. Yet, companies today still collect data using paper and pen.

“...88% of all spreadsheets have errors in them, while 50% of spreadsheets used by large companies have material defects.” – CNBC

Solve the problem at the source — the field.

In Prevent Data Blackouts: Digitizing Solar Operations to Connect Field Data to the Office, we discuss how digitizing operations with a mobile friendly workflow platform, allows you to.

Acquire more complete, consistent, and accurate data in real­time. Take action in a fraction of your current response time. Analyze all your data across multiple systems for faster and more informed business decisions. Download the eBook today

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Turn Up The Power

Digitizing Operations to Improve Performance, Quality, and Compliance.

These days, competition, regulation, and technology are fundamentally changing how energy and utilities businesses operate. As the stakes get higher, the pressure is on to do everything better and faster — while continuously reducing costs.

Energy and utilities leaders understand they need a digitization strategy that will see their organizations into the future and CEOs believe digital transformation will deliver sustainable cost reductions, enhance revenue growth, and support better decision ­making.

Yet, despite digital’s tremendous potential, energy and utilities organizations have been slow to adopt or fully implement digital initiatives. Meanwhile, the consequences of continuing to rely on manual processes and disparate systems negatively impact business — creating challenges with meeting goals for on ­time performance, quality, safety, and compliance.

Read Turn Up the Power: Digitizing Operations to Improve Performance, Quality, and Compliance and learn the day­today impacts of manual processes and disparate systems and how you can quickly implement custom, IT­ approved workflow apps that integrate with your systems in weeks.

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Manual Processes Amid Utility Service Providers

A Survey Report from the Utilities’ Perspective.

Utility companies and service providers are at a tipping point.

TrackVia surveyed 200 utility companies about the business risks of service providers using manual processes and the results are staggering. With time­consuming and costly data entry, reporting, and auditing, as well as the inability to quickly access accurate information to address outage and customer service issues, it’s clear service providers need to evolve.

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Zero2Hero™ Stack Solution

Your data is across multiple systems, in multiple data silos making key customer insights impossible. 56% of customer interactions happen during a multi-channel, multi-event journey. How can you create a unified view of customer activity and behavior, both from formal and informal interactions, and turn them into actionable insights?

And what if on top of those actionable insights you could take advantage of machine learning to automate newly imagined business processes? Read on to learn more.

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Customer 360 powered by Zero2Hero™

A pre-built data processing and analysis stack of exceptional tools, Bardess accelerators, preloaded with relevant industry data, designed to solve modern scale problems and deliver rapid value. Read on to learn more about this solution.

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Customer 360 powered by Zero2Hero™ video

The Zero2Hero™ (z2H™) stack solution is aptly named for its ability to be set up in a matter of hours, and helps our clients go from zero, to analytics heroes incredibly quickly. Zero2Hero™ aggregates the data to ensure key data is prioritized. This provides your customer with a unique customer experience based on their preferences and behaviors. Watch the video to learn more.

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Modernizing .NET Applications

As a .NET developer, you're constantly asked to build relevant and resilient software that can run anywhere. That alone is a tall order. But you're also asked to upgrade existing .NET software to unlock new value.

This practical ebook shows .NET developers and architects how to improve the most impactful parts of your existing codebase and build a sustainable process for refining your entire .NET app portfolio.

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Pivotal Cloud Foundry & Microsoft Azure: Reference Architectures for Cloud Native Applications

Many companies want to become a cloud-native enterprise. Pivotal Cloud Foundry (PCF) is the most popular tool to help make this happen. Pivotal’s engineers and architects have worked with hundreds of the largest companies in recent years. Our team has refined “best practices” for how to best deploy PCF, and how to best develop modern apps. This insight helps customers reduce risk, and deliver high-quality software faster.

Many of these enterprises wish to run Pivotal Cloud Foundry on Microsoft® Azure™. Azure is a popular choice for several reasons. Read more to find out.

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Application Modernization with Cloud Flexibility

Enterprise developers face many choices when writing software. What’s the right architecture for the long run? What are the technologies I should bet on?

One of the more challenging decisions: how to balance the flexibility to deploy their software on any public cloud with the benefits of using differentiating cloud services. You may gain significant functional benefits from such a service, but this may make moving from one cloud provider to another more difficult, limiting flexibility.

In this paper, we’ll discuss pragmatic strategies you can take to achieve something approximating the ideal of service liquidity. Pivotal and Microsoft have worked with several enterprises and partners to provide an evaluation and implementation framework. The end result? Developers can utilize the power of a given cloud platform, while ensuring cloud flexibility for their application modernization projects. Read on to learn more about this framework.

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Customer Data Platforms: How They Work, What They Solve & Why Everyone Needs To Use One

Today’s customers have been trained by Amazon, Netflix, Spotify and many others to expect personalized experiences. In one recent study, two-thirds of respondents said they were more likely to shop at a retailer who knew their purchase history and 75% said they were comfortable with sharing personal data.

Another survey found that 61% believe their favorite brands understand and cater to their needs while 38% were likely to stop buying from a brand that failed to provide timely offers on sales and promotions. Yet 22% in the same survey also said they’d break up with a brand if it provided too many offers. In short, consumers demand personalization but have little tolerance for firms that do it poorly. The stakes couldn’t be much higher.

Marketing technology vendors offer many personalization tools to help. But those tools need data to pick the right experiences for each customer. And they need not just any data, but accurate, organized and accessible data that includes information from all sources, presents an integrated picture of each customer, adds intelligence to help guide decisions and is easily available to the systems that deliver the front-line experiences. It’s easy to overlook the need for this data while exploring the latest new gadget for automated video creation or augmented reality advertising. But quality data is the fuel those other systems run on. Without it, they’ll sputter to a halt or spew wildly inappropriate experiences that annoy customers even more than no personalization at all.

Unfortunately, assembling quality data is hard. Traditional methods have consistently failed to meet marketers’ needs: it’s painfully common to hear stories of data warehouse projects that dragged on for years before finally being canceled without delivering anything useful. Systems that run “in the cloud” don’t magically solve problems, since all that cloud-based data still needs to be brought back to earth to be unified, refined and exposed. Building direct connections between individual systems can sometimes close a few critical gaps on a short term basis, but becomes increasingly unwieldy as marketers continue to add new systems that must be included.

A new solution has recently appeared: the Customer Data Platform (CDP). As purpose-built products designed from the start to assemble and distribute customer data, CDPs promise to be faster, easier, cheaper and more flexible than previous solutions. But CDPs are not widely understood and such promises rightly arouse much skepticism. This paper aims to dispel the skepticism by explaining what CDPs are, why they overcome previously unsolvable problems and how you take advantage of them.

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GDPR Impact Series 2018

2018 sees the long-awaited General Data Protection Regulation (GDPR) enter into enforcement starting May 25th. It is a once-in-a-lifetime change to the legal basis on which individuals share their data with organizations.

DataIQ undertook twin-track research in the UK to examine how consumers expect their data to be used and whether they intend to exercise their new rights, as well as into what organizations intend to do to bring their data-driven practices into line with the Regulation. The project had three key objectives:

  • Understand the consumer perspective on data collection, consent, context, and control
  • Learn key strategies for the business/marketer’s processes, top opportunities, and challenges in adjusting to the new Regulation
  • Identify any mis-alignments between the two sides’ views of the data exchange and their root causes

The research was built around four key areas of data protection and privacy management: mobile and digital (the issues specific to those channels), relevance and accuracy (how data should be kept upto-date), readiness (how consumers and businesses are preparing for GDPR) and regtech (how technology can support GDPR compliance). Results from the research are presented in a series of four white papers, each of which looks at one of these areas.

This whitepaper specifically focuses on the research segment conducted by DataIQ in association with Tealium. It looks into the how aware consumers are of the way data is collected from their mobile and digital footprint, as well as how businesses rely on these data streams to deliver personalized services and a better customer experience.

Get Whitepaper

Customer Data Platforms: How They Work, What They Solve & Why Everyone Needs To Use One

Today’s customers have been trained by Amazon, Netflix, Spotify and many others to expect personalized experiences. In one recent study, two-thirds of respondents said they were more likely to shop at a retailer who knew their purchase history and 75% said they were comfortable with sharing personal data.

Another survey found that 61% believe their favorite brands understand and cater to their needs while 38% were likely to stop buying from a brand that failed to provide timely offers on sales and promotions. Yet 22% in the same survey also said they’d break up with a brand if it provided too many offers. In short, consumers demand personalization but have little tolerance for firms that do it poorly. The stakes couldn’t be much higher.

Marketing technology vendors offer many personalization tools to help. But those tools need data to pick the right experiences for each customer. And they need not just any data, but accurate, organized and accessible data that includes information from all sources, presents an integrated picture of each customer, adds intelligence to help guide decisions and is easily available to the systems that deliver the front-line experiences. It’s easy to overlook the need for this data while exploring the latest new gadget for automated video creation or augmented reality advertising. But quality data is the fuel those other systems run on. Without it, they’ll sputter to a halt or spew wildly inappropriate experiences that annoy customers even more than no personalization at all.

Unfortunately, assembling quality data is hard. Traditional methods have consistently failed to meet marketers’ needs: it’s painfully common to hear stories of data warehouse projects that dragged on for years before finally being canceled without delivering anything useful. Systems that run “in the cloud” don’t magically solve problems, since all that cloud-based data still needs to be brought back to earth to be unified, refined and exposed. Building direct connections between individual systems can sometimes close a few critical gaps on a short term basis, but becomes increasingly unwieldy as marketers continue to add new systems that must be included.

A new solution has recently appeared: the Customer Data Platform (CDP). As purpose-built products designed from the start to assemble and distribute customer data, CDPs promise to be faster, easier, cheaper and more flexible than previous solutions. But CDPs are not widely understood and such promises rightly arouse much skepticism. This paper aims to dispel the skepticism by explaining what CDPs are, why they overcome previously unsolvable problems and how you take advantage of them.

Get Whitepaper

GDPR Impact Series 2018

2018 sees the long-awaited General Data Protection Regulation (GDPR) enter into enforcement starting May 25th. It is a once-in-a-lifetime change to the legal basis on which individuals share their data with organizations.

DataIQ undertook twin-track research in the UK to examine how consumers expect their data to be used and whether they intend to exercise their new rights, as well as into what organizations intend to do to bring their data-driven practices into line with the Regulation. The project had three key objectives:

  • Understand the consumer perspective on data collection, consent, context, and control
  • Learn key strategies for the business/marketer’s processes, top opportunities, and challenges in adjusting to the new Regulation
  • Identify any mis-alignments between the two sides’ views of the data exchange and their root causes

The research was built around four key areas of data protection and privacy management: mobile and digital (the issues specific to those channels), relevance and accuracy (how data should be kept upto-date), readiness (how consumers and businesses are preparing for GDPR) and regtech (how technology can support GDPR compliance). Results from the research are presented in a series of four white papers, each of which looks at one of these areas.

This whitepaper specifically focuses on the research segment conducted by DataIQ in association with Tealium. It looks into the how aware consumers are of the way data is collected from their mobile and digital footprint, as well as how businesses rely on these data streams to deliver personalized services and a better customer experience.

Get Whitepaper