Reconciliation is an essential control function in financial services, aimed at eliminating operational risk that can lead to fraud, fines or in the worst case, the failure of a whole firm. And yet, since an early push in the early 2000s that automated parts of the very back-end of the system (cash and custody), innovation in this area has stalled and operations reliant on people power and spreadsheets are prevalent.
https://runfrictionless.com/b2b-white-paper-service/
Constellation’s technology will enable the advancement of the digital revolution by creating an ecosystem facilitating decentralized applications throughout a scalable distributed network. Constellation acts as a centerpiece framework that other applications can integrate with, without giving away data security and application dependency. Furthermore, our goal is to leverage existing technologies in distributed computing, big data and machine learning that are widely used among developer communities, and apply them to a decentralized distributed network.
https://runfrictionless.com/b2b-white-paper-service/
Maximising value while migrating your Oracle Estate to Microsoft Azurerun_frictionless
This white paper aims to provide organisations moving to the Microsoft Azure cloud with the necessary knowledge and business strategies to navigate these issues. It aims to explain the common misunderstandings and challenges in this area, and reassure enterprise organisations that Oracle workloads can be moved to Microsoft Azure cloud in an equivalent and cost-effective manner.
https://runfrictionless.com/b2b-white-paper-service/
Azure Cost Management’s Cost Analysis tool helps you break down the details of your Azure spend—with this tool, you can take a more in-depth
look into exactly what everything costs and do all kinds of grouping and filtering across your resources.
This is the tool to use if you want to see what a service is currently costing you, or if you’re trying to figure out why your bill is higher than you
anticipated. Remember, visibility of your Azure spend is very important and should always be something to keep top of mind.
https://runfrictionless.com/b2b-white-paper-service/
FourNet Microsoft Teams Direct Routing and Contact Centre IntegrationJoshua Bundy ACIM
Combine FourNet's Agile Cloud with Microsoft Teams to bring your contact centre agents and back-office staff together to deliver exceptional customer service.
Five Priorities for Quality Engineering When Taking Banking to the CloudCognizant
As banks move to cloud-based banking platforms for lower costs and greater agility, they must seamlessly integrate technologies and workflows while ensuring security, performance and an enhanced user experience. Here are five ways cloud-focused quality assurance helps banks maximize the benefits.
Constellation’s technology will enable the advancement of the digital revolution by creating an ecosystem facilitating decentralized applications throughout a scalable distributed network. Constellation acts as a centerpiece framework that other applications can integrate with, without giving away data security and application dependency. Furthermore, our goal is to leverage existing technologies in distributed computing, big data and machine learning that are widely used among developer communities, and apply them to a decentralized distributed network.
https://runfrictionless.com/b2b-white-paper-service/
Maximising value while migrating your Oracle Estate to Microsoft Azurerun_frictionless
This white paper aims to provide organisations moving to the Microsoft Azure cloud with the necessary knowledge and business strategies to navigate these issues. It aims to explain the common misunderstandings and challenges in this area, and reassure enterprise organisations that Oracle workloads can be moved to Microsoft Azure cloud in an equivalent and cost-effective manner.
https://runfrictionless.com/b2b-white-paper-service/
Azure Cost Management’s Cost Analysis tool helps you break down the details of your Azure spend—with this tool, you can take a more in-depth
look into exactly what everything costs and do all kinds of grouping and filtering across your resources.
This is the tool to use if you want to see what a service is currently costing you, or if you’re trying to figure out why your bill is higher than you
anticipated. Remember, visibility of your Azure spend is very important and should always be something to keep top of mind.
https://runfrictionless.com/b2b-white-paper-service/
FourNet Microsoft Teams Direct Routing and Contact Centre IntegrationJoshua Bundy ACIM
Combine FourNet's Agile Cloud with Microsoft Teams to bring your contact centre agents and back-office staff together to deliver exceptional customer service.
Five Priorities for Quality Engineering When Taking Banking to the CloudCognizant
As banks move to cloud-based banking platforms for lower costs and greater agility, they must seamlessly integrate technologies and workflows while ensuring security, performance and an enhanced user experience. Here are five ways cloud-focused quality assurance helps banks maximize the benefits.
Oracle Blockchain Cloud Service gives you a pre-assembled
platform for building and running smart contracts and
maintaining a tamper-proof distributed ledger.
This presentation provides an overview of OpenText, OpenText value proposition to customers, and a high level overview of the products that OpenText provides.
The presentation is created, edited and owned by OpenText Product Marketing
The 2020s Most Innovative SCM Solution Providers, we have handpicked few companies that has adapted innovative techniques to bring agility in business.
https://www.insightssuccess.com/2020s-most-innovative-scm-solution-providers-january2020/
Top 10 tredning technologies to learn in 2021Lokesh Agarwal
In this world of digitalization, technologies are expanding rapidly. As the world foremost tech news contributor, it is the duty of us to keep everyone updated with the newest trends of the top 10 trending technologies in 2021. Technology and programming language are so important in day to day lifestyle to make the livelihood more facile. These computer scientists and professionals are regularly making the bests out of anything. Technology has taken a face of more productiveness and give the best to the nation. In the present scenario, everything is done through the technical process, you don’t have to bother about doing work, everything will be done automatically. In this article, some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top 10 trending technologies in2021 and its impression in the coming future.
EVRYTHNG created this white paper for the Blockchain Research Institute. The goal was to explore what blockchain technology can (and cannot) do for the the Internet of Things (IoT). The IoT is where the rubber meets the road for blockchain after all. Beyond the purely digital applications of finance, communication and intellectual property rights management lies the physical world where trillions of objects will be connected — connecting, communicating and exchanging value without human intervention.
Developed with Forum for the Future, an international sustainability non-profit organization, and based on our own interviews and executive survey, Vision 2030: A connected future highlights the opportunities that experts and business leaders see for IoT, data and connectivity to create a sustainable future.
The report outlines a future vision for IoT driven connectivity and highlights the barriers that need to be overcome to realize this vision and concludes with recommended next steps.
Patterns for Success: Lessons Learned When Adopting Enterprise DevOpsCognizant
Enterprises that have successfully embraced DevOps are realizing real benefits. Not every DevOps story, however, is a successful one. Here's how to ensure DevOps earns a great reputation in your organization.
ISC2 Privacy-Preserving Analytics and Secure Multiparty ComputationUlfMattsson7
Use Cases in Machine learning (ML)
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Regulations and Standards in Data Privacy
Stepping into the Digital Future with IoTCognizant
How 14 companies across industries are demonstrating the reality of IoT-at-scale and generating actionable intelligence to fuel higher levels of efficiency, innovation and new business models.
In this paper, we offer our thoughts
on where we believe Cloud is going from a business perspective and why it’s relevant for your organization. Our aim is to inspire creative thinking and spark dialog. For more perspectives on Cloud and to share your thoughts, please visit http://www.cisco.com/go/cloud.
Success in Automation: Decoding the Winning FormulaCognizant
Automation is on the rise everywhere, but organisations generally do not know where to begin. As detailed here, by analysing the parameters of complexity and variation, you can systematically determine which business processes are ready for automation, and to what degree.
Automating the Revenue Cycle: 10 things to considerManish Jain
In this Access Healthcare white paper, we talk about 10 things to consider before investing in process automation. Written by revenue cycle practitioners, this white paper recounts some of the things to consider before jumping into RPA.
Oracle Blockchain Cloud Service gives you a pre-assembled
platform for building and running smart contracts and
maintaining a tamper-proof distributed ledger.
This presentation provides an overview of OpenText, OpenText value proposition to customers, and a high level overview of the products that OpenText provides.
The presentation is created, edited and owned by OpenText Product Marketing
The 2020s Most Innovative SCM Solution Providers, we have handpicked few companies that has adapted innovative techniques to bring agility in business.
https://www.insightssuccess.com/2020s-most-innovative-scm-solution-providers-january2020/
Top 10 tredning technologies to learn in 2021Lokesh Agarwal
In this world of digitalization, technologies are expanding rapidly. As the world foremost tech news contributor, it is the duty of us to keep everyone updated with the newest trends of the top 10 trending technologies in 2021. Technology and programming language are so important in day to day lifestyle to make the livelihood more facile. These computer scientists and professionals are regularly making the bests out of anything. Technology has taken a face of more productiveness and give the best to the nation. In the present scenario, everything is done through the technical process, you don’t have to bother about doing work, everything will be done automatically. In this article, some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top 10 trending technologies in2021 and its impression in the coming future.
EVRYTHNG created this white paper for the Blockchain Research Institute. The goal was to explore what blockchain technology can (and cannot) do for the the Internet of Things (IoT). The IoT is where the rubber meets the road for blockchain after all. Beyond the purely digital applications of finance, communication and intellectual property rights management lies the physical world where trillions of objects will be connected — connecting, communicating and exchanging value without human intervention.
Developed with Forum for the Future, an international sustainability non-profit organization, and based on our own interviews and executive survey, Vision 2030: A connected future highlights the opportunities that experts and business leaders see for IoT, data and connectivity to create a sustainable future.
The report outlines a future vision for IoT driven connectivity and highlights the barriers that need to be overcome to realize this vision and concludes with recommended next steps.
Patterns for Success: Lessons Learned When Adopting Enterprise DevOpsCognizant
Enterprises that have successfully embraced DevOps are realizing real benefits. Not every DevOps story, however, is a successful one. Here's how to ensure DevOps earns a great reputation in your organization.
ISC2 Privacy-Preserving Analytics and Secure Multiparty ComputationUlfMattsson7
Use Cases in Machine learning (ML)
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Regulations and Standards in Data Privacy
Stepping into the Digital Future with IoTCognizant
How 14 companies across industries are demonstrating the reality of IoT-at-scale and generating actionable intelligence to fuel higher levels of efficiency, innovation and new business models.
In this paper, we offer our thoughts
on where we believe Cloud is going from a business perspective and why it’s relevant for your organization. Our aim is to inspire creative thinking and spark dialog. For more perspectives on Cloud and to share your thoughts, please visit http://www.cisco.com/go/cloud.
Success in Automation: Decoding the Winning FormulaCognizant
Automation is on the rise everywhere, but organisations generally do not know where to begin. As detailed here, by analysing the parameters of complexity and variation, you can systematically determine which business processes are ready for automation, and to what degree.
Automating the Revenue Cycle: 10 things to considerManish Jain
In this Access Healthcare white paper, we talk about 10 things to consider before investing in process automation. Written by revenue cycle practitioners, this white paper recounts some of the things to consider before jumping into RPA.
Intelligent Automation: Exploring Enterprise Opportunities for Systems that D...Cognizant
To compete in an era of globalization and fast-moving business change, organizations need to apply smart technologies, which can reduce costs, increase scalability, improve accuracy, boost speed and make better use of human efforts.
Intelligent automation exploring enterprise opportunities for systems that do...Matthew Smith
To compete in an era of globalization and fast-moving business change, organizations need to apply smart technologies, which can reduce costs, increase scalability, improve accuracy, boost speed and make better use of human efforts.
Automatonophobia is the fear of anything that falsely
represents a sentient being. And when it comes to process
automation, many organizations have this fear about getting
started.
Indeed, robots are fast advancing, enabling you to improve
the accuracy, consistency, speed, and delivery cost of any
activity that requires human labor. They do not need sleep,
overtime salary, or breaks, and they can do everything
from opening an Internet browser and executing a program
to validating data, answering questions, and supporting
decisions. But in a dynamic and somewhat ambiguous
technical landscape, with a lack of established marketplace
examples, some companies have spent the past 12 months
just talking about robotic automation, while early movers are
already saving millions of dollars.
Missing the Mark: Ten Reasons Why Automation Fails Across the Software Develo...Cognizant
Automation is the foundation for success in the digital age. However, as organizations forge ahead, they often find themselves on faulty footing. Here are some of the reasons automation fails and the traps that organizations should avoid.
Emerging Technologies for Revenue Agencies - Accenture Researchaccenture
Emerging technologies have ushered in a new era of capability for revenue agencies. But how far have they progressed with these technologies? What exist to further development? And what can be done to speed up their implementation? Accenture’s Public Service Emerging Technologies Research surveyed nearly 800 public service technology leaders, in nine countries, to shed light on these questions.
Driving Digital Supply Chain Transformation - A Handbook - 23 MAY 2017Lora Cecere
Insights on driving a digital transformation based on research on new technologies, advisory work with clients, and quantitative research projects. This is a short handbook to help companies get started on their journey to define the digital supply chain.
Financial Services Automation: Taking Off the Training WheelsCognizant
Many financial institutions are struggling to move beyond early proofs of concept with process automation, our latest research reveals. To realize the promise of automation, financial institutions need to transcend technological myopia, focus on end-to-end business function innovation, and proactively address security challenges and risk.
Learn How to Maximize Your ServiceNow InvestmentStave
Understand how leading companies are adopting an aPaaS strategy
Learn the evolution of ServiceNow's platform capabilities
Assert IT's influence over shadow IT practices
Digital has brought about change in everything we do.
Your business needs to adapt to changing customer
dynamics and respond to competitive forces in real-time.
Your customers, partners, and suppliers are on their toes
and they expect you to be up and running too.
Thus, IT leaders have to imbibe the concept of the platform ecosystem and think in terms of creating the “platforms that cohesively work internally and externally to enable a
multimodal connect for delivering digital enterprise.”
Take following steps to Platformize:
1. Build Contextual Process
Platform
2. Integrate mobility and social in
process applications
3. Deliver Process Experience
4. Elevate Orchestration
5. Loosely Couple resources
6. Create and Carry Process
Context
7. Practice Platform Governance
8. Think Big, Start Small, Earn
quick wins, Expand
9. Leverage Agile Methodology
and Accelerators
For more information visit: http://www.newgensoft.com/
The 25 Most Beautiful B2B White Papers On The Planetrun_frictionless
Google, Apple, Microsoft, Facebook, Linkedin, and Docusign. Which company has the sexiest #B2B #whitepapers?
Cast your vote. Which one do you ❤️ ?
https://runfrictionless.com/blog/25-beautiful-b2b-white-papers/
https://runfrictionless.com/b2b-white-paper-service/
Pharma Marketing: Get Started on Creating Great Customer Experiences with Jou...run_frictionless
Customer journeys are highly strategic and – in a competitive and regulated environment like life sciences – understanding them can literally make or break the success of a new drug launch, as well as efforts to achieve long-term loyalty and adherence. For pharma, added complexities start with the definition of the “customer.” While patients are the end consumers, pharma has more direct relationships with prescribing health care providers (HCPs), who significantly influence the patient experience and most certainly determine the successful marketing of medications.
https://runfrictionless.com/b2b-white-paper-service/
AWS has the services to help you build sophisticated applications with increased flexibility, scalability and reliability. Whether you're looking for compute power, database storage, content delivery, or other functionality, with AWS you pay only for the individual services you need, for as long as you use them, without complex licensing. AWS offers you a variety of pricing models for over 160 cloud services. You only pay for the services you consume, and once you stop using them, there are no additional costs or termination fees. This whitepaper provides an overview of how AWS pricing works across some of the most widely used services. The latest pricing information for each AWS service is available at http:// aws.amazon.com/pricing/.
https://runfrictionless.com/b2b-white-paper-service/
The AWS Well-Architected Framework helps you understand the pros and cons of decisions you make while building systems on AWS. By using the Framework you will learn architectural best practices for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It provides a way for you to consistently measure your architectures against best practices and identify areas for improvement. The process for reviewing an architecture is a constructive conversation about architectural decisions, and is not an audit mechanism. We believe that having well-architected systems greatly increases the likelihood of business success.
https://runfrictionless.com/b2b-white-paper-service/
LinkedIn Marketing Solutions Affluent Millennials Research Whitepaperrun_frictionless
It appears that Affluent Millenials might approach their own finances with a greater sense of ownership than previous generations. When it comes to managing their finances, it's clear that Affluent Millenials want more control.
https://runfrictionless.com/b2b-white-paper-service/
Charting a Way Forward Online Content Regulationrun_frictionless
This paper explores possible regulatory structures for content governance outside the United States and identifies questions that require further discussion. It builds off recent developments on this topic, including legislation proposed or passed into law by governments, as well as scholarship that explains the various content governance approaches that have been adopted in the past and may be taken in the future.2 Its overall goal is to help frame a path forward—taking into consideration the views not only of policymakers and private companies, but also civil society and the people who use Facebook’s platform and services.
https://runfrictionless.com/b2b-white-paper-service/
Electronic contracts and electronic signatures under Australian lawrun_frictionless
An electronic signature is a signature which is applied by electronic means to a document in electronic form. Australian law generally recognises that deeds and agreements can be executed via electronic means and by way of an electronic signature.
www.runfrictionless.com
Mac Pro was developed with a singular purpose: to enable professionals to do their most demanding work without constraint. It’s designed and engineered to enable a wide range of different uses, and presents virtually unlimited possibilities for customization and expansion.
https://runfrictionless.com/b2b-white-paper-service/
Connecting with Sidecar is the same as connecting any external display. Select the AirPlay menu item in the menu bar, then select iPad. The AirPlay icon will turn into an iPad icon while Sidecar is in use. Simply pull down from the iPad icon on the menu bar to see a host of options: Mirror Display, Hide or Show Sidebar, Show or Hide Touch Bar, Open Displays Preferences, and Open Sidecar Preferences.
https://runfrictionless.com/b2b-white-paper-service/
The Google Cloud Adoption Framework builds a structure on the rubric of people, process, and technology that you can work with, providing a solid assessment of where you are in your journey to the cloud and actionable programs that get you to where you want to be. It’s informed by Google’s own evolution in the cloud and many years of experience helping customers.
https://runfrictionless.com/b2b-white-paper-service/
Google's guide to innovation: How to unlock strategy, resources and technologyrun_frictionless
Organizations are facing unprecedented change and challenges stemming from a confluence of natural and artificial conditions. These forces are driving many to rethink the tools and technologies they use, and the places they need to be, to grow, and to innovate.
https://runfrictionless.com/b2b-white-paper-service/
Google Cloud Industries: The impact of COVID-19 on manufacturersrun_frictionless
After facing severe headwinds from COVID-19, ranging from decreased orders to negative impacts on operations, manufacturers around the world have started to revamp their operating models and supply chain strategies—and now feel more prepared in their ability to successfully navigate future pandemics, according to new research released from Google Cloud.
www.runfrictionless.com
Artificial intelligence and machine learning (AI/ML) present us with novel and efficient ways to solve challenging and persistent problems, particularly when it comes to predictions. Retail, due to its fast moving, trend powered, and fluid nature coupled to an extended logistics chain, relies heavily on making smart predictions. As improvements in AI/ML over the last several years have proliferated, not only in performance advances but deployability, there are exciting openings for experimentation in many domains of the retail value chain
https://runfrictionless.com/b2b-white-paper-service/
Companies are realizing incredible benefits by incorporating ChatOps into their incident management workflows. Slack channels provide hyper-effective means to alert teams of issues, take immediate action, and collaborate with clarity and urgency. It is for this reason that companies like Opsgenie, PagerDuty, and VictorOps have invested in integrating their incident management applications into Slack.
https://runfrictionless.com/b2b-white-paper-service/
Social media in the enterprise has predominantly been a haven for marketers, who use its power to engage target audiences along multiple points of the conversion funnel, while being able to track the eicacy of messages and content in a very precise way.
https://runfrictionless.com/b2b-white-paper-service/
Journey mapping in finance requires specific domain expertise. As almost every step has layers of compliance, ALM, legal, IT security, and other requirements, you need to consider all possible issues.
https://runfrictionless.com/b2b-white-paper-service/
Strengthening Operational Resilience in Financial Services by Migrating to Go...run_frictionless
Operational resilience is a key area of focus for financial services firms, and could be thought of as the next goal in addressing systemic risk in the financial services sector. Regulators are also increasingly focused on this risk: it is recognised that despite many years of bolstering financial stability by enhancing financial resilience following the financial crisis, the shocks that come from the operational side can be as significant as the shocks from the financial side.
https://runfrictionless.com/b2b-white-paper-service/
The Inclusive Fintech 50 applicant pool provides new insights into inclusion-focused fintech, itself a subset of the fintech universe. Early-stage inclusive fintechs are developing innovative products, services, business models, and distribution channels to provide solutions for underserved segments. Yet these startups require capital and other resources in order to reach the world’s 3 billion financially underserved people. By highlighting these high-potential companies, we hope to support the efforts of investors, banking partners, and other fintechs working towards a financially inclusive world.
https://runfrictionless.com/b2b-white-paper-service/
Security and compliance is an ongoing process, not a steady state. It is constantly maintained, enhanced, and verified by highly-skilled, experienced and trained personnel. We strive to keep software and hardware technologies up to date through robust processes. To help keep Office 365 security at the top of the industry, we use processes such as the Security Development Lifecycle; we also employ techniques that throttle traffic and prevent, detect, and mitigate breaches.
https://runfrictionless.com/b2b-white-paper-service/
Today, Information Security has to be at the heart of the modern SAAS organization. At Speakap, we’ve always held the view that our customers should own their data, and thus have always fiercely protected data privacy, so we see the increased attention on these topics as being great for all companies and consumers.
https://runfrictionless.com/b2b-white-paper-service/
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
In the Adani-Hindenburg case, what is SEBI investigating.pptxAdani case
Adani SEBI investigation revealed that the latter had sought information from five foreign jurisdictions concerning the holdings of the firm’s foreign portfolio investors (FPIs) in relation to the alleged violations of the MPS Regulations. Nevertheless, the economic interest of the twelve FPIs based in tax haven jurisdictions still needs to be determined. The Adani Group firms classed these FPIs as public shareholders. According to Hindenburg, FPIs were used to get around regulatory standards.
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
This session provided an update as to the latest valuation data in the UK and then delved into a discussion on the upcoming election and the impacts on valuation. We finished, as always with a Q&A
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
2. 2 The Reconciliation Maturity Model: Part 1
CONTENTS
3 Introduction: building the case for automation
4 Why is reconciliation so hard?
6 Machine learning - does it live up to the hype?
8 The five stages of maturity
9 Stage 1: Manual
10 Stage 2: Hybrid
11 Stage 3: Automated
12 Stage 4: Improving
13 Stage 5: Self-Optimising
14 Conclusion: moving to a Stage 5 future in the
“Decade of Data”
3. The Reconciliation Maturity Model: Part 1 3
INTRODUCTION: BUILDING THE CASE FOR AUTOMATION
Christian Nentwich
CEO Duco
Reconciliation is an essential control function
in financial services, aimed at eliminating
operational risk that can lead to fraud, fines or
in the worst case, the failure of a whole firm.
And yet, since an early push in the early 2000s
that automated parts of the very back-end of
the system (cash and custody), innovation in
this area has stalled and operations reliant on
people power and spreadsheets are prevalent.
It is now 2020 and technology has moved
on. So how can firms automate and
streamline their reconciliation function now?
What options are there for updating and
consolidating systems?
In this paper we introduce The Reconciliation
Maturity Model - a best practice guide for
all reconciliation practitioners, or executives
overseeing a reconciliation function. You can
use the model to benchmark where your firm
is in terms of reconciliation best practice, and
what steps are needed to improve automation,
efficiency and data quality.
We will look at why reconciliation is so hard
to automate, what forward thinking firms are
doing about it, and which types of technology
are needed to take your processes to the next
level.
We will also outline what it takes to achieve the
“holy grail” in the future. A place where errors
are spotted and corrected automatically, and
the need for intersystem reconciliation is all
but eliminated.
We hope you find it insightful and useful.
4. 4 The Reconciliation Maturity Model: Part 1
WHY IS RECONCILIATION SO HARD?
The digital transformation of financial institutions has been extensive
in recent years. Firms have systematically looked to eliminate
repeatable tasks across all departments and geographies. But many
are finding reconciliation a tough nut to crack.
In the vast majority of organisations, multiple point solutions
are used for specific reconciliation tasks across the business.
The result is a patchwork of disparate processes stitched
together via spreadsheets, manual work or home-made
applications. It’s highly inefficient, there’s no consolidation and
every process is prone to errors and fragmentation.
But why is this still the case?
+ A lack of standardisation
In many cases in financial services there are no strict data
standards. For example, different counterparties provide
trade and position data in different formats. Each one
requires a bespoke reconciliation process or expensive data
normalisation.
+ Increasing complexity
Cash or stock assets can be matched on a few basic fields,
but for more complex products you need to take far more
information into account. Most current systems are unable to
deal with every asset type that crops up in a timely manner.
And that’s before we get to the range of data needed for
regulatory reporting, and the associated reconciliations
required.
+ Poor data quality
The enemy of automation. Missing fields, inconsistent coding
schemes and unavailability of common keys make automation
difficult when using current solutions due to hardcoded
assumptions within those systems.
With enough training data, machine
learning can spot errors, outliers and
poor data quality at source, reducing
the number of reconciliations
required. Eventually, the process
should be so seamless that intersystem
reconciliations become unnecessary.
5. The Reconciliation Maturity Model: Part 1 5
+ Data inconsistency and lineage issues
As data passes through the organisation, moving from system
to system, errors and inconsistencies can occur. Due to a
proliferation of data types and formats, reconciliations are
now being introduced into ever-increasing points in the data
flow as consistency checks. As the firm grows in terms of size
and complexity, the reconciliation function similarly balloons,
introducing a smorgasbord of different systems, processes
and reconciliation techniques across the business. The lack of
a transparent, consolidated view over the firm’s reconciliations
becomes a major problem.
Under these conditions, reconciliation is a thankless task.
Processes take too long, are often error prone, and when data
volumes rise, so do costs and headcount. However, with the right
tools and outlook, firms can overcome these problems and look to
automate and then optimise their entire reconciliation function.
Processes can be consolidated, with manual and point solutions
eliminated, enabling practitioners to analyse and drive additional
value from their data. In addition, once all the data has been
normalised onto one system, machine learning technology can be
used to optimise every step of the process.
With enough training data, machine learning can spot errors,
outliers and poor data quality at source, reducing the number
of reconciliations required. Eventually, the process should be so
seamless that intersystem reconciliations become unnecessary.
That is what all financial organisations should ultimately be
striving for. The Reconciliation Maturity Model provides a blueprint
to getting there.
6. 6 The Reconciliation Maturity Model: Part 1
MACHINE LEARNING - DOES IT LIVE UP TO THE HYPE?
Machine learning has recently replaced
blockchain at the top of the hype
curve in terms of technology that will
revolutionise financial services. The
majority of vendors in the reconciliation
space are shouting about it, and it’s easy
to see why.
Machine learning, if implemented
correctly can have a great number of uses
in the context of reconciliation, including
predicting correct configurations for
matching and data normalisation,
parsing unstructured data, predicting
root causes of breaks and the clustering
of related exceptions. However, it’s
essential to keep the following in mind:
Machine learning is only as good
as the data it’s trained on
Without access to a large and varied set of training data, the
benefits will be limited. This is especially important when you
consider machine learning deployed on an installed system
compared to a cloud-based system. In the installed version, the
system can only learn from local data. In the cloud version, it
can train on a much wider set. Imagine using a traffic app on
your phone. The cloud-based version can give you information
based on a huge range of anonymised data. But the local
version can only provide information based on the journeys you
have taken yourself.
Beware of imitations
Machine learning is all about training models from data using
supervised or unsupervised learning techniques. If you are
using a product that requires a software release, configuration
change or expensive consultancy to improve results, this may
involve hardcoding rules rather than using machine learning.
You won’t get the benefit of a continuously improving model.
7. The Reconciliation Maturity Model: Part 1 7
Keeping a “human in the loop”
As reconciliation is a mission critical function,
explainability is very important. If a machine-
learning algorithm is making a decision, how
do you demonstrate to the auditor how it
arrived at the conclusion? Our strongly-held
view is that machine learning is best used as a
“recommendation” function in reconciliations.
The algorithm should recommend a path
of action, that a user then has to accept,
thus creating an audit trail. This puts the
human in the loop, and prevents algorithms
autonomously making decisions.
The user experience is key
In tandem with the above, firms delivering
software in this space need to carefully consider
how user actions are captured and fed back
to the learning algorithm - to avoid nasty
surprises. The impact of an action, such as
declining a recommendation, must be made
very clear to the user, as it will likely affect
recommendations given in the future.
8. 8 The Reconciliation Maturity Model: Part 1
THE FIVE STAGES OF MATURITY
While consigning intersystem reconciliations to history is not possible
yet - the technology isn’t quite there - firms can start to get their houses
in order and position themselves to take advantage of the technology
when the time comes.
For example, the machine learning algorithms we have discussed need
large quantities of training data to be effective. Trying to layer intelligent
algorithms over manual processes, or non-standardised data residing
in disparate systems across the business, ultimately won’t provide any
meaningful results.
The diagram below outlines the five steps of reconciliation maturity. The
key is to recognise where your organisation lies within the model, and
what steps you need to go through to move forward to Stages 4 and 5.
STAGE 3
All reconciliations
consolidated onto one or
more automated systems.
Small teams build &
onboard recs, and oversee
exception investigation.
Significant efficiency
improvements.
Risk is reduced.
STAGE 4
One automated intelligent
system reconciles all data.
Additional data quality
controls are active
throughout the data lifecycle.
Simplification of processes
is possible, leading
to consolidation and
decommissioning of systems.
STAGE 5
Full automation across the
entire lifecycle of rec, from
onboarding to exception
resolution. Very little
involvement from staff.
MANUAL HYBRID AUTOMATED IMPROVING SELF-OPTIMISING
STAGE 2
Point system(s) in place
for specific data types.
Others recs carried out on
spreadsheets or manually.
Teams/processes are
disparate, reconciliation as
a function is fragmented
and duplicate work is likely.
STAGE 1
All recs carried out manually,
using spreadsheets, or via
home-made applications.
High risk of error and
lack of auditability.
9. The Reconciliation Maturity Model: Part 1 9
STAGE 1: MANUAL
Almost all firms will start off by
reconciling data “manually”. By this we
mean using Excel or some other form
of spreadsheet, macros, home-grown
applications or - in some instances we’ve
come across - printing out sheets of
paper and marking inconsistencies with
a highlighter pen!
The benefits are that manual processes
are quick to set up, initially very
cheap, and there are no development
projects to worry about. However, as
the organisation grows, and the data
becomes more complex, the risk of error
skyrockets. There’s no audit trail, no
governance and it becomes increasingly
expensive to scale. If in the 2020s you’re
throwing an increasing number of bodies
at a data matching exercise, you know
something’s wrong.
With complex data, the macros start
to become increasingly complex
and opaque, creating key person
dependencies. Before you know it, the
only people who know the intricacies of
a mission critical function, are a couple of
VBA experts writing code in a backroom
somewhere. Clearly as a firm grows, using
purely manual reconciliation becomes
unsustainable.
10. 10 The Reconciliation Maturity Model: Part 1
STAGE 2: HYBRID
Once a firm has reached a certain size,
or handles sufficient volumes of data,
bringing in an automated reconciliation
system becomes a necessity. For the
majority of organisations, this takes the
form of a point solution, usually deployed
to automate high volume, low complexity
reconciliations such as cash or custody.
These point solutions - by their very
nature - tend to specialise in a certain
type of reconciliation. Firms trading a
wide range of assets, or those dealing
with complex data, may need to use
multiple point solutions to handle
different reconciliation types.
Even so there will be many reconciliations
that these point solutions are not able
to handle elegantly. In these cases, firms
tend to fall back on manual processes.
The result is a patchwork quilt of different
reconciliation approaches stitched
together by manual work. The whole
process is costly, difficult to keep track of,
and difficult to scale.
At this point many firms centralise their
reconciliation function into a low-cost
location, enabling them to throw more
bodies at the job at a lower cost to the
business. Larger organisations using this
model will often need to employ small
armies of people to pick up the non-
automated work. A recent study by Aite
Group came across one Tier-1 bank that
employed over 3,100 full time employees
dedicated to reconciliation alone1
. Full
automation is needed before true
efficiencies can be realised.
1
Aite Group, Trends in Reconciliation Technology, September 2019
11. The Reconciliation Maturity Model: Part 1 11
STAGE 3: AUTOMATED
As organisations grow, they tend to progress
through Stages 1 and 2 fairly naturally.
However, getting to Stage 3 is not a natural
jump. It requires all reconciliations to be
automated, which in most cases breaks
the architectural assumptions of traditional
systems and requires a fundamental rethink
of how reconciliation operations should
be structured in the organisation. The
good news is if the jump to Stage 3 is done
correctly, then progression to Stages 4 and 5
is not only easy - it’s inevitable!
The key to getting to this stage is using
the right technology. With traditional
solutions, onboarding a reconciliation
takes a long time. Aite Group reports that
the average time to onboard a simple
reconciliation is over 17 business days on
average, while a complex reconciliation
takes 74 days2
.
With these timescales, automating all
reconciliations is a near-impossible task, as
new systems, data types, regulations and
requirements crop up all the time. Using
point solutions exclusively will always
result in fragmented processes, no matter
how efficient they are at dealing with one
type of reconciliation.
To reach Stage 3, firms need to be able
to onboard reconciliations in hours
or days, not weeks or months. They
need to be able to rely on agile, flexible
technology that can deal with complexity
without multi-week data transformation
projects. Once this technology is in
place, complexity and risk can be vastly
reduced, while increasing efficiency and
transparency across processes.
It’s worth noting here that at Stage 3
many firms will be using a combination
of a legacy technology to deal with their
core, high volume reconciliations, while
employing a more flexible reconciliation
solution on top to handle the more
complex and bespoke data. This is mainly
due to the fact that the legacy solutions
are on-premise systems, often part of
the infrastructure for many years, and
are very difficult to remove. However,
eventually they must be replaced and all
reconciliations moved to a modern, agile
system if the firm is to move on to Stage 4.
2
Aite Group, Trends in Reconciliation Technology, September 2019
12. 12 The Reconciliation Maturity Model: Part 1
STAGE 4: IMPROVING
Here all reconciliations are automated
on one intelligent solution. This enables
greater efficiency and oversight of the
reconciliation function as a whole. It also
enables firms to normalise their data
across the business and implement
additional data quality checks across
systems, highlighting areas of incomplete
or incorrect data.
Organisations are then able to start
consolidating systems and removing
duplicate reconciliations which have
already been handled upstream.
Processes become leaner, more efficient
and more transparent.
Just as importantly, at Stage 4 the role of
the reconciliation department is elevated.
Rather than being perceived as a cost
centre, with ever-increasing overheads
as the amount of data and complexity
increases, the reconciliation function can
consist of a small skilled team able to
analyse where breaks are coming from
and try to fix them at source.
With all reconciliation data in one place,
the team can more easily run analytics on
it, find which systems or third parties are
causing the most operational pain, and
provide valuable feedback to the wider
business – rather than spending most
of the time of manual tasks. The work is
more rewarding and job satisfaction is
higher.
The ease that a firm moves from Stages
2 and 3 to Stage 4 depends heavily on
whether it has any entrenched legacy
point solutions. For newer or more
nimble organisations, getting to this
stage will be fairly straightforward – they
simply need to migrate all reconciliations
to an agile system. But for firms that rely
on an on-premise solution, the migration
will be slower, with reconciliations moved
across over a matter of years. This process
is important, however, to enable the
organisation to reach Stage 5.
13. The Reconciliation Maturity Model: Part 1 13
STAGE 5: SELF-OPTIMISING
At the time of writing, a fully self-
optimising system is not yet available.
However, with machine learning
technology improving by the day, it is
very much in development. The below
is what is possible in the not-too-
distant future, assuming you have the
technological foundations in place (ie
all reconciliations are automated on an
intelligent, machine-learning enabled
system).
At Stage 5, the entire reconciliation
process is automated from end-to-end.
This covers onboarding, configuration,
matching, exception identification,
exception resolution and management
reporting. Reconciliation practitioners
only need to check and validate the
decisions the system recommends.
As more data passes through the
system it learns, improves, reduces
reinvestigation and optimises
resources. Then, as new data enters the
organisation, the system spots errors and
inconsistencies immediately, before they
cause issues in downstream systems.
The number of internal intersystem
reconciliations are reduced, and then
eliminated entirely, as the reconciliation
solution is able to flag and fix breaks at
source, while providing full lineage as the
data passes through the organisation.
The reconciliation team becomes a
very small group who validate the
recommendations the system makes,
and investigate any outlier breaks that
the system is not able to identify and fix
itself.
14. 14 The Reconciliation Maturity Model: Part 1
CONCLUSION: MOVING TO A STAGE 5 FUTURE IN THE
“DECADE OF DATA”
As we enter this new decade - the “decade of data” - we
believe The Reconciliation Maturity Model will help more
firms get closer to Stage 5: the “holy grail” of reconciliation.
This optimal future isn’t that far away. Machine learning
is already being employed within modern systems and
offers exciting benefits for users, which will only improve
with time. Also, as more people sign up to use these
systems, this creates a flywheel effect as the machine
learning algorithms start to improve with the amount of
training data they can access.
Our recommendation to firms would therefore be: get
ready to take advantage of machine-learning, and a future
where reconciliation can be minimised.
The best way to do this is by choosing a SaaS system,
where the amount of training data is ever-increasing.
Machine learning algorithms on installed systems are
only able to train on a limited set of data. By positioning
themselves as Stage 4 (or 5) organisations, firms will not
only see immediate benefits, they will also be ready to
take advantage of new functionality when it arrives.
Attitudes towards cloud-based infrastructure will
continue to change as the adopters reap the benefits and
laggards struggle to keep up. The net beneficiary of all of
this will be the people who work in reconciliations - who
will get more power to do their jobs properly instead of
doing tedious manual work - and the end clients receiving
improved and more responsive service.
In future papers, we will look in depth at different parts
of the reconciliation process, including:
1. Onboarding and Configuration
2. Matching Control and Workflow
3. Reporting and Analytics
4. System Installation and Deployment
As we enter this new decade - the
“decade of data” - we believe The
Reconciliation Maturity Model will
help more firms get closer to Stage 5:
the “holy grail” of reconciliation.
15. About Duco
Duco is a global provider of self-service data integrity and
reconciliation services. Our mission is to make managing
data easy. The cloud-based Duco platform empowers end
users to aggregate, normalise and reconcile data on demand
- without infrastructure projects. Firms rely on us to increase
business agility, reduce risk, stay compliant with regulation
and dramatically improve efficiency across a range of mission
critical tasks. Customers can be live in 24 hours, with results in
7 days and tangible business value in 30 days. Headquartered
in London, with offices in New York, Luxembourg, Edinburgh,
Wroclaw and Singapore, Duco’s customers include global
banks, brokers, asset managers, exchanges and middle and
back office outsourcers.
For more information go to www.du.co