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The integration of artificial intelligence (AI) and machine learning (ML) in healthcare has emerged as a groundbreaking frontier, and one that is a high priority for health system executives over the next 12 months, according to a Fierce Healthcare article. This type of investment includes Generative AI, a technology with the potential to reshape patient care, streamline operations, and enhance decision-making within health systems.
Health system executives are increasingly acknowledging the potential of Generative AI but face challenges when it comes to concrete implementation plans. A survey done by Bain & Company revealed the top three priorities for generative AI were:
Though the value of Generative AI is seen in already-improving margins, only 6% of respondents had an implementation strategy ready. In addition, the rapid pace of innovation can create a difficult path forward for prioritization of investments.
So how does one move forward to creating a plan and charting a path forward to create positive outcomes including providers to spend more time with patients, allow certain employees to do more tasks that positively affect profitability, and more accurate high-quality data? Well, it will depend on your organization, but we have compiled a few recommendations:
Health systems are progressively recognizing Generative AI’s role in increasing margins and relieving pressure from providers. Through proactive planning, strategy and utilizing available resources, the right investment can be made for particular health system needs.
Our Content Intelligence product uses AI and machine learning to automatically take digital and print healthcare documents and automatically load the important information into your EMR or ECM, ready for use by providers when they need them, with 98% accuracy. A major, mid-Atlantic health system saw an estimated annual savings of $7.9 million by automating their medical records indexing process system-wide with DataBank.
In the fast-paced world of the food and beverage industry, where freshness and speed are essential, there’s no room for slow and cumbersome processes. Managing invoices efficiently is crucial for maintaining a streamlined cash flow and ensuring the smooth operation of your business. That’s where invoice automation comes into play, and Databank, in partnership with Esker, is here to revolutionize your accounts payable (AP) systems.
The food and beverage industry has distinct characteristics that set it apart from others. Quick inventory turnover, perishable goods, and fluctuating demand require businesses to be agile and responsive. When it comes to managing finances, having the ability to accelerate cash conversion cycles and process invoices swiftly becomes paramount.
Invoice automation offers a game-changing solution tailored to the specific needs of the food and beverage sector. Here’s how it can benefit your business:
Say goodbye to the piles of paperwork and the endless hours spent manually processing invoices. Invoice automation simplifies your AP workflows by digitizing and automating invoice management. This not only reduces the risk of human error but also frees up valuable time for your finance team to focus on more strategic tasks.
In the food and beverage industry, every minute counts. Invoice automation significantly accelerates the approval process, ensuring that invoices are processed promptly. This speed translates into quicker payments to suppliers, strengthening your vendor relationships and enhancing your reputation in the industry.
Gain unparalleled visibility into your financial metrics with configurable dashboards. Databank’s AP solution allows you to monitor your financial health at a glance, providing you with real-time data and insights. This enables informed decision-making, helping you adapt to market dynamics swiftly.
Collaboration with your vendors has never been easier. Our solution includes a vendor portal, granting your suppliers easy access to invoice status and payment details. This transparency fosters trust and collaboration, creating a win-win situation for both parties.
Invoice automation goes a step further with the ability to “auto-learn” specific fields within invoices. As your system processes invoices, it constantly improves its accuracy and efficiency. This adaptive learning ensures that your AP processes are always optimized and up to date.
The food and beverage industry’s unique needs call for innovative solutions. Databank’s AP solution, in partnership with Esker, is here to meet those needs head-on. With streamlined processes, faster invoice approvals, and enhanced financial insights, you can navigate the challenges of this dynamic industry with ease. Say hello to efficiency, and goodbye to the hassles of manual invoice processing.
Ready to transform your AP department? Contact Databank today to learn more about how invoice automation can drive success in the food and beverage industry.
You know how valuable your data is, but when does it become an asset, instead of a headache? This is the concept of data activation, or the ability to make your data actionable. With so much data available to us and being created daily, many organizations get stuck managing their data, instead of turning it into usable information. Here’s a breakdown of the difference between managing your data, and activating it.
At its core, data management is about laying a stable foundation—a reliable infrastructure that ensures data integrity, quality, and governance. Effective data management is like constructing a solid base for a skyscraper. Organizations with solid data management can expect:
If your organization is focused on data management, you’ll be primarily concerned with the content platform (OnBase, Azure, Sharepoint, the list goes on). Getting your data structured and centralized to be accessible to your employees and stakeholders is probably your biggest moving target.
While data management establishes stability, data activation propels organizations into the future, pioneering a more dynamic, insight-driven landscape. The outcomes of effective data activation extend beyond mere stability, ushering in a new era of forward-thinking strategies:
Data activation is inherently proactive, emphasizing the timely extraction of insights to guide strategic decisions. In contrast, data management, while crucial, tends to operate more reactively, ensuring data stability over the long term.
While data management establishes a reliable status quo, innovation thrives in data activation. It introduces cutting-edge technologies and methodologies to derive actionable insights, pushing the possible boundaries.
Ultimately, embracing data activation as the driving force that transforms raw data into a strategic asset, positioning the business for success in the dynamic and ever-evolving digital landscape.
Cash flow management is at the heart of every successful organization’s financial strategy. A well-structured approach to invoicing can significantly impact an organization’s cash flow cycles.
In this blog, we will explore how invoice automation leverages the power of AI and machine learning to accelerate cash flow cycles and enable data-driven insights.
One of the most significant advantages of invoice automation is its ability to speed up invoice processing times. In the past, manual processes, often involving email or traditional mail, introduced delays and inefficiencies. However, with invoice automation, these manual steps become a thing of the past.
By automating the entire invoice processing workflow, Databank’s AP solution ensures that invoices are routed to the right individuals for approval automatically. This eliminates the need for manual intervention and reduces processing times, ultimately accelerating cash flow cycles. Invoices are processed faster, allowing organizations to allocate their financial resources more effectively.
Late payment penalties can be a significant drain on an organization’s financial resources. Invoice automation ensures that invoices are paid on time, avoiding these costly penalties. The system calculates due dates accurately, taking into account payment terms and early payment discounts. This means organizations can maximize their cost savings by paying invoices at the most opportune times.
By automating reminders and notifications, the system also ensures that invoices are processed promptly, reducing the risk of late payments. This not only saves money but also strengthens vendor relationships, enhancing the overall financial health of the organization.
Databank’s AP solutions are modern and cutting-edge, leveraging the power of artificial intelligence (AI) and machine learning (ML) technologies. Powered by our trusted partner Esker, our invoice automation technology is at the forefront of innovation in the field.
AI and ML algorithms enhance the accuracy and efficiency of invoice processing by auto-learning and continuously improving the system’s performance. This ensures that invoices are processed with a high degree of accuracy and at unmatched speeds, further contributing to the acceleration of cash flow cycles.
Databank’s AP solution offers a configurable dashboard that empowers accounting departments and leadership with a top-level view of invoice statuses and cash flow. With this high-level view, decision-makers can drive company growth with data-driven insights.
Imagine having real-time access to critical financial metrics such as outstanding payments, cash flow projections, and processing efficiency. Databank’s configurable dashboard provides just that. It enables decision-makers to identify bottlenecks, optimize processes, and make informed decisions that directly impact cash flow.
Databank’s AP solution, powered by Esker, is a game-changer for organizations looking to accelerate their cash flow cycles. With a configurable dashboard that offers data-driven insights, streamlined invoice processing, the ability to avoid late penalties, and cutting-edge AI and ML technology, our AP solutions are designed to empower organizations to thrive financially.
By embracing invoice automation and modernizing their accounts payable processes, organizations can unlock the potential for improved cash flow management, strategic growth, and financial success. Don’t let outdated processes hold your organization back; harness the power of Databank’s AP solution to propel your business forward.
Connect with an invoice automation expert today.
We’re firmly entrenched in the digital age, and businesses are finding smart, effective ways to leverage technology. You hear a lot about digitization, digitalization, and digital transformation, but what do they mean, why are they relevant, and how do they build on one another?
Let’s break them down.
Digitization is converting non-digital or physical items into a digital entity so a computer system can utilize that information. It benefits organizations because crucial information can be accessed instantly and effortlessly. An example would be scanning a paper document and saving it as a digital record – like a PDF. The data and info on the document remain the same, only the accessibility and storage change.
Digitalization is using digital data to improve business processes, making the data work for you. Digitalization is impossible without digitization. An example would be creating automated workflows or using cloud computing to store and distribute documents.
Digitalization is using digital data to simplify how you work. When data is instantly accessible and not trapped inside those rows of clunky, beige/gray file cabinets, you’ll be able to access more data to make better decisions that impact your organization and customers. Digitization cannot be used interchangeably with digitalization; though they often are, the words have different meanings.
Digitization can exist on its own. You can digitize any file or paper document.
Digitalization cannot exist without digitization. First, documents must be digitized to use and gain information from them.
Digital transformation could be considered a lot of things, but in essence, it is change. Digital transformation is rethinking your business operations and customer experience. It’s a complete shift in how you operate. It’s change that happens over time rather than one single action.
We can break down digital transformation into three parts.
The first piece of any transformation is process. How are you getting things done? Is it efficient, cost effective? These are questions you’ll be figuring out on your digital transformation journey. Digitizing and digitization help you improve your processes to make them faster, cost efficient, and meet your customer demands.
New technologies help you transform and become more adaptable, resilient, and significantly improve performance and presence. Yes, technology can do all these things, but it won’t be useful without integrating well into your optimized processes and without being utilized or understood by your employees.
People are the third element of digital transformation. This segment can be the biggest uphill battle because everyone has to be aligned with the changes – and honestly, some people just don’t like change. Your people are your number one asset; so without their understanding of why and how things are going to transform, the technology investments, and the time spent improving your processes will not matter.
This is why good change management is so important.
A perfect example of digital transformation is Netflix. It started as a mail-order service and disrupted the brick-and-mortar video rental business. Their digital innovations made wide-scale video streaming possible, and today, Netflix offers a growing library of on-demand content at ultra-competitive prices. Netflix saw a need and filled that gap through technology and altering how people received and viewed television content. Internally, it likely took process refinement, people training, and technology adoption to make it successful.
Now that you understand the differences between digitization, digitalization, and digital transformation, where does your organization fall? What progress have you made toward digital maturity?
If you’re interested in learning more about digitization, digitalization, or receiving consultation on making a larger transformation within your organization, we can help you take the first step. Learn more →
OnBase works great as a content repository and management tool for enterprise organizations, but there is a lot more that can be accomplished beyond that.
Here are some questions to ask yourself if you’re an OnBase user and want to get more out of your system:
1. Are you storing your information, but aren’t really able to use the data in daily work?
2. Do processes still feel clunky and manual?
3. Are you seeing the impact of OnBase compliance and security on your bottom line?
4. Is OnBase talking to your other vital systems?
5. Are you able to start new application development?
If you answered “no” to any of these questions, but you’re wanting to say “yes,” check out the webinar to discover how OnBase, with the support of DataBank, can help you find success in these areas.
Data is widely considered to be among the world’s most valuable resources because of the potential revenue and business value it can provide. With the amount of data an organization can collect, businesses should develop and enforce a record retention policy. Not sure how to put a policy of that magnitude in place?
No worries. We’ve got you.
Record retention is the amount of time an organization should keep confidential records based on factors such as the industry, legal obligations, and risk management. For example, retention policies for the healthcare industry have different guidelines and laws than your tax records. A clearly defined document retention policy benefits businesses and organizations through increased efficiency, data safety, and cost savings. We’re going to talk about how.
If your organization still needs to develop a document records management policy, the Best Practice for Records Management article will offer noteworthy guidance.
A record retention policy helps businesses establish guidelines to avoid breaking local, state, and federal laws and industry regulations. These laws are implemented to keep customer and patient data safe since companies can collect large amounts of their information. Not only can you avoid a legal nightmare, but a retention policy gives you peace of mind and efficiency in the workplace.
Retention policies help guarantee that you aren’t overpaying for servers and cloud storage. Suppose you saved every document that came through your doors; you’d be paying a high cost in storage and would likely be getting lost under stacks of papers. With a retention schedule, you’ll eliminate the need for more storage and staff to keep track of documents that no longer serve a business purpose.
It’s easy to keep all your records – you know, “What if we need this?” However, hoarding documentation can escalate quickly, leaving you and your staff squashed like a bug under too many paper or digital files. For example, if your company gets audited, your team will have to spend hours to days going through outdated records until you find the right ones. However, with a record retention system and disposing of documents at their set expiration date, your staff will have less paperwork or digital files to sort through, resulting in free time that allows your team to work on higher-value tasks.
Although there’s no one-size-fits-all approach to record retention, we can still follow these best practices when creating a data retention policy:
Different industries require different retention policies. When beginning the record retention policy, be sure to research the industry standard and any legal obligation.
An Enterprise Content Management system (ECM) can help create more formalized policy procedures that could be easily managed. An example of an ECM system would be OnBase, an enterprise information platform designed to manage content, processes, and cases. This means OnBase is an excellent system for records retention software and ensures documents are destroyed on time and cannot be unintentionally deleted beforehand.
When you establish your goals, look at your current processes, and think about what you can automate within your records management process. Automation works well with simple, repetitive methods like data entry and classification. With automation in your records retention process, you’ll be able to build workflows that automatically sort, dispose of, or keep records on file based on criteria.
Cloud-based platforms can provide a common framework for managing and tracking retention rule updates. It can also streamline the records disposition process, basing updates on “trigger events” such as the termination of a contract or a change in HR requirements.
While some industry regulations dictate that certain records must be kept indefinitely, most forms can be destroyed or archived after a prescribed period. The record’s life cycle ends when the inactive records retention period expires.
Your records management policy should include yearly reviews and assessments of internal and external compliance with your industry’s standards. It’s important to know exactly where your information is at all times. For example, if you kept all your records in one room and needed one document with a client’s information, it would be difficult to find that document. Knowing where your files are can be easily found with specific parameters and indexing. You can attain your records easily with a quick search.
If you’re new to managing records or developing a record retention policy, we can provide some next steps to get you started. Learn more about how we help organizations nationwide organize their records, capture data from them, and use that information to level up their business.
What if we told you that you could increase the value of your acquisitions and divestitures process by 30% by streamlining your processes? Do we have your attention yet?
There’s no bones about it; a solid acquisitions and divestitures strategy contributes to a resilient energy company. A&D activity plays an integral role in maintaining balance in the ever-changing oil and gas landscape. Even with its importance, however, oil and gas property transactions are a lengthy and complex process, one that can be even further drawn out if the necessary data is hidden or lost in unfindable formats. So, how do you set up a winning A&D process? There’s two sides to every transaction, and success looks different depending on your seat.
As a seller, there’s serious pressure to maximize the value of the asset you’re selling. To leverage its worth, assets need to be transaction-ready. When there’s interest to buy, it’s immediate, and if you’re having to dig through paper or digital files for crucial pieces of property information, you’re losing dollars in real time.
From the buyer’s end, consolidating each piece of relevant documentation can be a tedious (and even painful) task. Newly acquired asset information needs to be shared inter-departmentally and is especially pressing when establishing that the purchase was sound. If the asset you just bought is coming with unstructured data, that internal vetting process can be drawn out for months – leaving your team with a headache and lengthy to-do list.
If your company is like Merit Energy, these transactions aren’t isolated events – they’re frequent and a significant piece of their business model. Thanks to a restructured and streamlined acquisitions process, they’ve saved their team months of waiting to integrate important data when a new asset is acquired, (and their team doesn’t even touch the paperwork.) Streamlining Merit’s acquisition process required a clear understanding of their business needs and oil and gas-specific requirements. Now, Merit can simply complete the steps to acquire on their end, and then hand off all of the data associated with the acquisitions to a digital processing center where it’s securely scanned and sent back to their team in an indexed, usable way.
Should an asset come in with data already digitally scanned, but not organized or digestible, those files are easily converted to a source compatible with Merit’s already established data management system. Everything is securely accessible, viewable, and transparent and will only increase the value of the asset, should the company ever decide to sell.
Beyond the initial challenge of converting paper documents into digital formats, lies the equally crucial task of structuring and organizing these digital assets for optimal accessibility and usability. This process ensures that valuable information isn’t just archived but becomes a valuable resource that drives informed decision-making and operational efficiency. Databank’s AI-Powered Document Processing services efficiently address this need, offering the expertise and technology needed to transform raw or unstructured data into intelligently structured and actionable insights.
Check out the full story on Merit Energy, and shoot us a buzz to start making your processes (and life) easier today.
You’ve got more data than you know what to do with, and it’s growing at an astonishing rate. As a result, managing your data, documents, records, and files – and the systems and containers that store them – is an increasingly complex and time-consuming process.
Managing enterprise content has become increasingly challenging as businesses deal with an ever-growing volume of data. An enterprise content management (ECM) system is a solution that helps organizations streamline the way they keep and organize data.
However, implementing an ECM system can be tricky, requiring skilled planning and execution. Here are some best practices to consider to help implement a successful ECM.
Document security is a crucial part of any content management system because it ensures the protection, integrity, and confidentiality of sensitive information. For a successful implementation, you need to determine your document security requirements. Identify what types of data and information need to be classified as confidential, who should have access to them, and how you plan to protect them.
An effective ECM system should offer features like authentication, encryption, and granular access control. Access control will help you control who has access to sensitive information, while encryption will confirm that your data is protected even if it falls into the wrong hands.
Before implementing an ECM system, you must identify the data sources that you need to migrate. Then, choose a data migration strategy that fits your organization’s goals and requirements.
Migrating data from legacy systems or existing repositories into the new ECM requires meticulous planning to guarantee a seamless transition while preserving data integrity and accessibility. The first step in this process involves a comprehensive assessment of the existing data landscape, including file types, formats, metadata, and organizational structures. This assessment informs the creation of a detailed migration plan that outlines the necessary steps, timelines, and resource allocation for the migration process. During execution, it is essential to employ data validation and cleansing techniques to minimize errors and assure data quality. Additionally, a phased approach can be beneficial, allowing for testing and validation at each stage before proceeding to the next.
One of the biggest challenges when implementing an ECM system is user adoption. If your users do not adopt the new system or find it difficult to use, it will hinder the success of the implementation. A lack of user adoption can also lead to wasted resources and a lower return on investment.
To establish user adoption, it is important to provide adequate training and support. Consider creating a user feedback mechanism to capture your users’ opinions and the areas that need improvement. Incorporate suggestions and make changes as needed to ensure that users are satisfied and comfortable using the system.
Establishing workflows is a critical component of an efficient and streamlined content management system. By defining clear and standardized processes for content creation, review, approval, and distribution, organizations can guarantee smooth and consistent operations. Workflows help eliminate bottlenecks, reduce errors, and improve productivity by providing a structured framework for task management and collaboration. It is essential to involve key stakeholders from different departments to identify and map out the workflow stages, dependencies, and decision points.
Automation can also play a crucial role in streamlining workflows by automating repetitive tasks, sending notifications, and tracking progress. Regular evaluation and optimization of workflows based on feedback and performance metrics can further enhance efficiency. By implementing well- designed workflows, organizations can empower their teams, enhance productivity, and create a seamless content management experience.
Remember, implementing an ECM is not just about adopting a new system; it’s about evolving how you manage and leverage your data – one of your most valuable assets.
By embracing these best practices, organizations can unlock the full potential of their content, streamline processes, enhance collaboration, and ultimately drive productivity and success in the digital age.
If you’re ready to get started, learn more about content services, data migrations, and training to support ECM adoption.
For energy companies, competition for assets is fierce. Buyers expect to be able to compare deals online, and you may still be spending hours sifting through data buried in paper or PDFs. With the high frequency of buying and selling, who has that kind of time?
Not only is the market fast moving and competitive, but buyers want to be able to make informed decisions. If your land records aren’t digitized, you’re one step further from having all your information structured, classified, and centralized into a central source of truth. In other words, the biggest benefit to digitizing your records is what comes after they are scanned and processed – you have usable data that can be analyzed, automated, and unleashed.
Eliminating paper is one step in the right direction, but in the end, converting physical to digital files aren’t going to solve all your problems. That’s why we utilize a system to extract and classify oil and gas records in a process we call AI-Powered Document Processing.
Just a few other reasons you might want to digitize and structure your oil & gas documents:
We could keep this list going all night.
But, here’s 3 remarkable benefits to digitizing your oil & gas land records:
When records and information are spread across paper and PDFs, it makes access difficult. Everyone needs access to search, export, and review information on your asset at any time. Having a single source of truth enables accessibility and organization and is much more efficient than digging through paper.
Utilize data scanning and capture services that integrate with your current land management system or software. These advanced data capture services can digitize data from multiple sources and select the most important and relevant information you want to keep.
Using AI to digitize
In a recent survey, companies leveraging AI in their land record management see an average increase of 30% operational efficiency.
Technology has advanced so that artificial intelligence can automatically process, digitize, extract, and structure your land documents and data, then integrate it into your most important systems so they are ready to be accessed at any time. This is completely hands-free and will allow your teams to make decisions at the snap of a finger.
At DataBank, we partner with oil & gas AI technology experts who have tons of experience working with specific land and production team documents like leases, contracts, deeds, titles, surveys, permits, and more. Learn more →
Studies show that AI-powered data extraction slashes error rates by 40%. So, not only does AI automate document digitization and processing, but eliminates the risk associated with manual data entry.
There’s already enough steps in the land management process. When quality data is readily available, you’ll see approvals move much faster. This incluThere aredes contract approvals, distribution, workflow, and addendum. Give your asset management team the data they need at the right time to perform their jobs with confidence and move you along to the next step.
Build trust with buyers and owners through improved data quality.
Once data is accessed digitally and is flowing seamlessly throughout your systems, you’ll not only see improved contractual agreement workflow, but also division orders and investor relations. You create value to your interested parties by eliminating errors associated with manual processes and having information that is of quality and is complete.
When you have digital records, you increase property value. This is because when you don’t have your land records in order, this could have costly and even legal implications. Here is how value Increases:
Rapid data extraction
AI-powered document processing quickly and accurately extracts relevant data from all your documents – no matter how complex they may be.
Enhanced due diligence
Utilizing artificial intelligence and machine learning is more accurate than traditional processing methods like OCR. This prevents errors that could potentially lead to costly legal issues or transaction delays.
Seamless integration
Data AI extracts can be directly integrated into your database or systems for asset management, allowing newly acquired or divested assets to be effortlessly incorporated into your operations.
AI’s ability to swiftly process documents, extract data, and assist in due diligence strengthens the asset acquisition and divestiture process in the oil and gas sector.
By simplifying land management, making online approvals easier, speeding up asset acquisition and divestiture, AI accelerates the journey from negotiations to successful transactions, driving efficiency and value for all stakeholders involved – including your workforce, partners, and Investors. Learn more about AI-Powered Document Processing for Oil & Gas, DataBank’s solution for AI-led document processing, extraction, structuring.