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Why Digibee is Right for Your Organization

An overview of what you can expect from a demo with our team. When given the chance to show our potential value, most organizations choose to partner with us.

Do you agree with these statements?

  • You get a lot of offers to evaluate technology products and services
  • When you’re invited to demo a product, the invitation is usually vague at best
  • Digibee probably hasn’t been on your radar for very long
  • You can’t afford to waste time

To save you time and to best show you how Digibee can accelerate your integration strategy, learn more about what you can expect from our sales team and solution architects as you explore Digibee, including:

  • How we work to understand your challenges and showcase how Digibee’s integration platform can help
  • Our process to personalize your demo and integration plan specific to your priorities and tech stack
  • How we work with you to prove our value

Learn more about our engagement process with this helpful overview or schedule a demo with our team.

FinTech Case Study

Digibee enables a fintech company to sell a new insurance product in their new mobile application with an implementation in just under 45 days.

Improving Developer Efficiency: Do You Spend Too Much Time on Integrations?

Enterprise integration is no longer a nice-to-have – ensuring your data and systems are seamlessly, securely integrated is vital to your ability to grow and compete in a digital-first world. But at what cost?

Measuring developer productivity

Developer productivity is an increasingly important KPI for organizations looking to control IT costs without affecting growth or innovation. And as more businesses focus on ensuring they’re getting the most out of their IT department, more attention is being paid to how developer efficiency is measured.

DO

  • Tie developer performance to business outcomes
  • Look at functionality gained, problems solved, or value added

DON’T

  • Count lines of code or number of bugs fixed
  • Focus on hours worked
  • Track the number of tasks completed

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

Integration and your IT team

If developer productivity metrics are tied to business outcomes, you’ll need to identify the goals of your integration project (or projects) to understand how efficiently your team is performing.

Key objectives for enterprise integration include:

  • Enabling AI and automation
  • Improving data security
  • Reducing operational costs
  • Improving time to market
  • Supporting digital transformation 
  • Upgrading legacy systems

Without successful integration implementation, companies can face:

  • An inability to adopt new technologies
  • Inefficiencies that affect business success
  • Lack of agility to respond to market changes
  • Wasted IT resources

Achievement of critical objectives – or elimination of challenges – offers a valuable way to tie developer efficiency to business outcomes. And once you’ve measured the productivity of your IT team, you can start looking for ways to improve it.

Benefits of a low-code platform

The intuitive visual drag-and-drop interface of Digibee’s iPaaS reduces the time and developer skill level required to build integrations, while our built-in monitoring makes integration maintenance easier and more efficient. In Forrester Total Economic Impact™ of Digibee’s iPaaS1 report, analysts quantified how companies can boost developer productivity with Digibee.

Building integrations

The Forrester TEI report values developer efficiencies realized in building integrations at $2.1 million over three years2, noting that the Digibee platform empowers developers to build new integrations as much as 75% more efficiently than point-to-point solutions.

  • Ease of use: Digibee’s low-code integration platform has a gentle learning curve, reducing the time it takes developers to understand and use the platform
  • Reusability: The ability to reuse existing integrations means developers don’t have to start from scratch for every connection, reducing the time spent on deploying integrations
  • Troubleshooting: Digibee’s integrated logs and metrics simplify the process of understanding when – and, more importantly, why – an integration isn’t working, reducing the amount of time spent on troubleshooting new integrations

Maintaining Integrations

Forrester analysts put the value of integration maintenance developer efficiencies at $370,0003, noting that Digibee almost completely eliminates the need for developer rework – a notable feat, given that 98% of enterprise IT professionals report having to rebuild at least one integration in the past 12 months.

  • Legacy integrations: With Digibee’s iPaaS, the time taken to maintain legacy integrations decreased to one hour for every four previously required
  • New integrations: Time needed to maintain new integrations also dropped to one hour for every four previously spent

Increase the efficiency of your IT team

Digibee’s low-code platform and integration monitoring tools can significantly reduce the time your development team spends on manual tasks related to building and maintaining enterprise integrations. 

The increased developer efficiency your team will realize using our iPaaS directly translates to progress on key objectives like cost savings, faster time to market, increased agility, and the ability to embrace new technologies that support innovation and growth.

But you don’t have to take our word for it. Download your copy of the Forrester TEI Report for a closer look at all the benefits your organization stands to gain by partnering with Digibee – or book a no-obligation demo to see our solution in action.


A commissioned study conducted by Forrester Consulting on behalf of Digibee
2 Savings for a hypothetical company with 20,000 employees and annual revenue of $5B
3 Savings over 3 years for a hypothetical company with 20,000 employees and annual revenue of $5B

Auto Manufacturer Case Study

Large auto manufacturer uses Digibee to integrate their legacy Warehouse Management System to new SaaS routing system with zero downtime.

Digibee’s Top 3 Tech Predictions for 2023

I recently moderated a discussion with three of my colleagues, Co-founder and CEO Rodrigo Bernardinelli; Peter Kreslins, Co-founder and CTO; and Tam Ayers, Field CTO, North America. It was a fascinating session where we shrugged off the constraints of today to explore what we believe we’ll experience in 2023. Since we tend to focus on our customers, it’s easy to forget that Digibee is an enterprise too. So the future IT industry trends we predict in 2023 are ones we will share with all enterprises. Read on!

5 Data Integration Techniques for Enterprise Organizations

Everything is connected. The past three years have only served to demonstrate just how accurate that statement is. The changes businesses rushed to implement amid pandemic restrictions did not evaporate as life returned to normal, and the effects of crises here at home and around the world serve as a continual reminder of just how connected we all are.

Digital transformation has emerged as a top priority as businesses work to meet changing consumer demands and ensure they won’t be caught off-guard by whatever comes next. But to achieve digital transformation, organizations must choose between a dizzying number of data integration techniques and strategies to connect their legacy systems with the solutions they rely on for growth and innovation.

This post examines some of the most common data integration techniques and strategies, their pros and cons, and how they perform in different use cases. 

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

Benefits of Data Integration

Does your organization really need data integration? The answer depends, of course, on your business model, but is probably yes.And even if you don’t strictly need integration, your organization could probably benefit from it. Here are just a few benefits of integrating your data:

  • Reduced costs – Many forms of data integration automate the transfer of data between systems, meaning you dedicate less resources to moving data manually.
  • Improved efficiency – Automated integration also eases your IT staff’s workload and reduces the risk of errors.
  • Enhanced data integrity – Data integration solutions generally have a built-in validation step, so you can make decisions based on your data with confidence that it’s accurate.
  • Ability to innovate – Integration lets you connect business-critical legacy systems with modern solutions for the power to leverage trends and respond to changing demands.
  • Increased security – Streamlining permissions and data access becomes simple and straightforward with integration.

5 Common Types of Data Integration

There are five key data integration strategies:

1. Manual Data Integration

As the name suggests, manual data integration relies on custom code to clean and connect data from different sources. This data integration technique is labor-intensive. Every single integration-related task, from converting to the correct format to displaying in the appropriate system, is done manually by a skilled developer.

PROS

  • Requires minimal maintenance once implemented
  • Ongoing expenses are lower than other approaches

CONS

  • Cannot be implemented without the internal coding expertise to create each connection
  • Manual processes increase the risk of error
  • Does not scale well unless you have a  dedicated team that can keep up with demand for new connections
  • Cannot support real-time use

Manual data integration works for one-off projects at companies not struggling with a shortage of IT expertise, but there are better candidates for digital transformation projects.

2. Application Integration

Application integration, sometimes called application-based integration, uses automated software tools to collect data from various sources, convert it to the appropriate format, and send it to its destination. This type of data integration frequently features open-source tools and pre-configured connections.

PROS

  • Fully automated tools require fewer internal resources to use and maintain
  • Provides seamless data transfer between a wide variety of sources

CONS

  • Requires technical expertise to deploy
  • Lack of standardization means services using this technique may deliver inconsistent results
  • Some risk to data integrity as it moves between systems

If your organization is looking for a way to integrate a limited quantity of data from a limited number of sources, application integration may be the right strategy for you. Enterprise digital transformation efforts may exceed the capabilities of this type of data integration.

3. Uniform Data Access Integration

Data virtualization is the key to this data integration technique. This strategy involves creating virtual versions of integration data that users can search and analyze without removing the core data from its secure location.

PROS

  • Supports real-time data use and analysis
  • Reduced storage costs since data remains in a single location

CONS

  • Only suitable for similar types of integration data
  • Too many requests can overwhelm the system and lead to failure
  • Accessing data from multiple points simultaneously can compromise integrity

Uniform data access integration is a powerful solution for organizations looking to save on data storage in their integration process, provided demand does not increase.

4. Common Storage Integration

This data integration method, also known as data warehousing, consolidates data from multiple sources into an entirely new system built to transform, store, and serve data to users as needed. 

PROS

  • Consolidating data in a single location protects its integrity
  • Latency is very low
  • Data can be accessed and managed regardless of the status of the source system

CONS

  • Building a new system to house and process data drives up implementation and maintenance costs
  • There can be some latency issues as data is transferred into the system from different sources, meaning real-time data access is not possible

If your company has the financial and human resources to support the high cost of data warehousing and a need to perform complex data analysis tasks, this type of data integration could work for you.

5. Middleware Data Integration

Like manual data integration, middleware is pretty much what it sounds like. Middleware data integration relies on a third-party tool that serves as a technical layer between (or in the middle of) your operating system and applications to format and validate data as it moves between systems.

Middleware integration solutions come in various forms, some requiring technical expertise and others that are intuitive and easy to use, regardless of skill level.

PROS

  • Automated or partially automated, allowing developers to focus on applications without worrying about connectivity
  • Creates uniformity at interface level for improved oversight and insights
  • Some options come with third-party monitoring or maintenance

CONS

  • Can require skills or expertise to deploy and maintain (varies by provider)

This data integration technique is ideal for digital transformation initiatives and connecting legacy systems with more modern tools and solutions.

How to Choose an Integration Tool

According to the 2022 State of Enterprise Integration report, only 7% of enterprise IT professionals say their organization has successfully adopted an integration strategy, so if you’re still in the planning stages, you’re not alone. But how do you choose the solution that’s right for you?

Here are four key factors to consider when weighing different types of data integration:

  • Basic requirements

Each of the five types of data integration we’ve discussed has different benefits and drawbacks. Make sure the strategy you select fits your organization’s needs. For example, if you need to scale operations up and down, manual coding is probably not the answer to your integration issues.

  • Effects on your team

Some data integration techniques require a lot of technical skill or knowledge to implement and maintain. How will that affect your team? Skilled IT experts are already in short supply, so it’s wise to choose a solution that you know you’ll be able to handle.

  • Daily operational impact

Understanding how you’ll access integrated data and how implementation and maintenance tasks will affect your business is also critical. Examine how disruptive the data integration technique you choose will be, and be sure your organization is prepared for the time it will take to deploy it and onboard staff.

  • Business goals

A solution that meets your data integration needs now might not hold up in the future. Consider your longer-term goals beyond the immediate need to integrate, and choose a strategy that will support those outcomes as well.

Let the Integration Experts at Digibee Help

At Digibee, we eat, sleep, and breathe data integration. Our low-code iPaaS offers all the benefits of a middleware integration solution without any of the drawbacks. 

Our intuitive visual interface eliminates the need for niche expertise to create integrations and makes building integrations more efficient. Book a demo today to discover how Digibee can help you.

How to Define Top Priorities for Integration Strategies

What are the biggest priorities for your business? If you asked that same question of everyone in your organization – or even just those in the c-suite – would you get the same answer? Probably not.

Going around the table, you might end up with multiple, often conflicting priorities from different areas of your organization. Getting everyone on the same page is hard enough with business-related issues, but when it comes to IT integration, conflicting priorities often delay business-critical integrations, or sideline projects altogether.

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

How Can You Get Everyone on the Same Page When it Comes to IT Integration?

To have a successful enterprise integration, business leaders must:

  1. Identify conflicting integration strategies 
  2. Decide on organization’s top priorities
  3. Create a business plan on how to work together to achieve priority goals

Identifying Conflicting Priorities

According to the Digibee State of Enterprise Integration Report, five different types of integrations were generally ranked evenly as priorities, regardless of differing perspectives across the organization.

Many of these areas have competing but also overlapping functionality. To gain a better understanding of the conflicting priorities, let’s find out why these different types of integrations are considered priorities, and why they are important to your business.

What Are the Top Priorities for Integration Strategies

1. B2B Integrations

What is B2B integration?

Business-to-business (B2B) integration is when two or more companies connect and automate their business processes and related data.

Why is B2B integration important for your business?

It’s understandable why B2B partnerships are so important to business leaders today. B2B integration can help you gain a better understanding of your value chain with more overall insight into potential supply chain delays or roadblocks. Integrating B2B processes can also help streamline processes and build partnerships, which are becoming increasingly vital in today’s business landscape.

A B2B integration platform can combine complex data across multiple partner applications and transform that data into standardized formats for streamlined insights throughout your business ecosystem. Automating key business processes and protocols can enable your company to work and communicate more effectively and efficiently with your key business partners, suppliers, and customers. 

2. Data Integrations

What is data integration?

Data integrations are when data from multiple sources are combined into one single view. Gartner research shows there is momentum in the data integration tools market driven by multi-cloud and hybrid data integration requirements. According to Gartner, complex data transformation and flexibility of data movement are some of the key capabilities of data integrations.

Why is data integration important for your business?

The importance of data integration cannot be understated. There are several benefits to your business, such as improved data quality and integrity, automated data transfer, overall insights throughout your enterprise or business ecosystem, reduced costs and better return on investment (ROI), seamless data transfer between multiple systems, and real-time insights across the board, leading to better collaboration and decision-making capabilities.

3. System Integrations

What is system integration?

System integration involves connecting multiple disparate IT systems and applications to create one overarching cohesive system infrastructure.

Why is system integration important for your business?

System integrations can play a key role in your business, as they connect systems that don’t usually communicate with each other. Combining these systems can streamline processes and make your business more agile, resulting in increased productivity, more accurate insights and analytics, more informed management, reduced costs, and ultimately improved customer satisfaction.

4. Application Integrations

What is application integration?

According to Gartner, application integrations enable independently designed applications to work together. This can be a game-changer for your company in departments that use several different applications where integration would increase efficiency, and if you want to connect multiple applications across the enterprise.

Why is application integration important for your business?

Gartner states that application integrations can help orchestrate the flow of activities performed by several disparate software applications. They can also create consistent data across independent applications, and provide access and functionality from independently designed applications into a single interface for the user.

5. API Management

What is API management?

Application Programming Interface (API) management covers a broad range of functions. It encompasses the overall process of creating, publishing, managing, and analyzing API connections within an enterprise. Individual APIs include a set of operations available to app developers. According to Gartner, API management includes the people, processes, and technology used by an organization to safely and securely publish APIs.

Why is API management important for your business?

API management solutions distribute, control, and analyze APIs that connect applications and data. API management can enable digital transformation, manage internal and external relationships with API users, and drive business value from APIs. The value gained from an API management solution is largely dependent on the vendor selected to provide the service, so your business should do its homework before selecting the right business partner to work with.

It might appear that there is a lot of overlap in these competing priorities. An enterprise integration platform-as-a-service solution can integrate all of these competing priorities into one successful solution. In order to reach that goal, you need to define your priorities.

Clearly Define Priorities and Work Together to Achieve Them

While integration priorities were scored fairly evenly across all respondents in a Digibee Survey, this lack of a clear objective can result in potential conflicts among stakeholders, which can delay implementation and increase costs.

That’s why it’s important to clearly define your priorities when it comes to your strategic implementation. Internal alignment on an integration strategy is critical to a successful implementation.

As a business leader, you must work and collaborate with the other leaders in your organization to determine the top priorities for your overall business and work together to achieve them. The same principle applies to an IT integration strategy, whether your company’s leading priorities involve B2B integrations, data integrations, system integrations, application integrations, or API management.

According to the Digibee ebook ‘How to Decide on an Integration Strategy’, Gartner states that by 2025, more than 75% of midsize, large and global organizations will establish integration strategy empowerment teams to support collaborative integration.

Steps to Success

To get started, build your enterprise integration strategy focused on a single objective as a first step, and understand the roadblocks to enterprise integration. 

You can also take an overall approach with enterprise integration Platform-as-a-service. An iPaaS solution is a scalable subscription-based service that connects your current systems with new technologies and combines organizational data regardless of underlying silos or legacy infrastructure.

Successful, cost-effective integrations are achievable, and an iPaaS solution can help you reach your goals.

Learn more about Digibee’s innovative approach to integration. Download your free copy of the 2023 report or, if you prefer, contact our experts directly for more information.

Your data, fully integrated, in less than three weeks. Let Digibee show you how.