Big data is not just about technology or data. Big data is about enabling business users to make decisions that create value. It is important to define what the technology toolset must address to enable financial institutions to establish organizational trust and harness the innovation possibilities of big data. But banks, insurers and investment firms tackling big data should not limit their focus to the technology solution.
Financial Data Mining and Algo Trading presented at the SAS Data Mining Confe...Robert Golan
Algorithmic Trading has changed the world the way the Traders trade and Trade Support supports. There is a Brave New World happening with the "hands on" Trading evolving into "hands off" Algo Trading. Not all trades need to be made in ultra low latency timing. Future trading will rely on a broader set of data which will be mined for relevance. For example, an important series of XBRL Financial Reporting events are happening throughout the world and especially in the USA. A critical mass of financial data will be ready for mining which will be a boon for transparent "low touch" fundamental style algorithmic trading.
COVID-19 heightened chronic challenges within the global healthcare industry. It became a catalyst amid fierce competition and tight regulations for health providers and payers to focus on digital health, cybersecurity, patient data transparency, and a variety of customer-centric and operational enhancements. As a result, we found the 2022 trendline pointing to improvements in access and quality of care.
Healthcare challenges such as optimizing the cost of care while simultaneously enabling personalized interventions and consumer-friendly shoppable services are long-standing − but, historically, the industry has been slow to react.
Read our Top Trends 2022 report to examine the lingering ramifications of the pandemic, responses from medical and insurance organizations, and the worldwide impact of ever-changing regulatory standards and mandates.
A combination of factors − the pandemic, catastrophic weather events, evolving policyholder expectations, and insurers’ drive for operational efficiency and future relevance − are sparking P&C industry changes.
In a post-COVID, new-normal environment, the most strategic insurers are building resilient, crisis-proof enterprises poised to take advantage of emerging and future business opportunities. They are leveraging advanced data analytics and novel technologies to assure agility and achieve positive revenue and customer satisfaction outcomes. Competitive advantage will hinge on accelerated digitalization and faster go-to-market. Therefore, win-win partnerships and embedded services with InsurTechs and other ecosystem players are critical.
Read Capgemini’s Top P&C Insurance Trends 2022 for a glimpse at the tactical and strategic initiatives carriers are undertaking to boost customer-centricity, product agility, intelligent processes, and an open ecosystem to ensure profitable growth and future-readiness.
This analysis provides an overview of the top trends in the commercial banking sector as they shift to technology high gear to boost client efficiency and battle a volatile, uncertain, competitive, and evolving landscape.
First, it was retail banking. Now, advanced technology is shifting to – and disrupting − the commercial banking space. Many commercial banks, known for paperwork, red tape, and branch dependency, were unprepared to support clients during their post-COVID-19 ramp-up. But now, the digital pivot to new mindsets, partnerships, and processes is in overdrive.
As commercial banks grapple with competition from FinTechs, BigTechs, and alternative lenders, their inability
to fulfill SME demands and pandemic after-shocks necessitates transformative process changes and a move
to experiential, sustainable, and inclusive banking models. We expect banks to strive to meet the demands
of corporate clients and SMEs by digitally transforming critical workflows and improving client experience.
Additionally, incremental process improvements in the middle and back-office that leverage intelligent
automation will keep the competition at bay because engaged clients are loyal.
Adopting newer methods to mine data and moving to as-a-Service models will prepare commercial banks
to flexibly respond to newcomers and find ways to co-exist through effective collaboration. The time has come for commercial banks to put transformation on the fast track as lending losses in wallet and market share could spill over to other functions!
How incumbents react and respond to 2022 trends could determine their relevancy and resiliency in the years ahead.
The Covid-19 pandemic necessitated the payments industry undergo a facelift, sparked by novel approaches from new-age players, fostered by industry consolidation, and customers’ demand for end-to-end experience. Crossing the threshold, the industry is entering a new era – Payments 4.X, where payments are embedded and invisible, and an enabling function to provide frictionless customer experience. As customers make a permanent shift to next-gen payment methods, Digital IDs are critical for a seamless payment experience. The B2B payments segment is witnessing rapid digitization. BigTechs, PayTechs, and industry newcomers are ready to jump in with newfangled solutions to help underserved small to medium-sized businesses (SMBs).
As incumbents struggle with profits, new-age firms are forging ahead to take the lead in the Payments 4.X era by riding the success of non-card products and services. The new era demands collaboration, platformification, and firms can unleash full market potential only by embracing API-based business models and open ecosystems. Data prowess and enhanced payment processing capabilities are inevitable to thrive ahead. The clock is ticking for banks and traditional payments firms because the competitive advantage is not guaranteed forever. As industry players seek economies of scale, consolidations loom, and non-banks explore new territories to threaten incumbents’ market share. While all these 2022 trends are at play, central bank digital currency (CBDC) is emerging globally and might open a new chapter in the current payments landscape.
As we slowly move out of the pandemic, financial services firms have learned the criticality of virtual engagement to business resilience. Wealth management firms will need capabilities to cater to new-age clients and deliver new-age services. This report aims to understand and analyze the top trends in the Wealth Management industry this year and beyond.
A year ago, our Top Trends in Wealth Management report emphasized how the pandemic sparked disruption and digital transformation and changing investor attitudes around Environmental, Social, and Corporate Governance (ESG) products. As we begin 2022, many of those trends continue to hold as COVID-19’s wide-reaching effects continue to influence the wealth management industry.
As wealth management (WM) firms supercharge their digital transformation journeys, investments in cybersecurity and human-centered design are becoming critical to building superior digital client experience (CX). Another holdover trend − sustainable investing – is gaining mainstream attention and generating increasingly sophisticated client demands. Data and analytics capabilities will become ever more essential for ESG scoring and personalized customer engagement. As large financial services firms refocus on their wealth management business while new digital players make industry strides, competition is becoming historically intense. Not surprisingly, client experience is the new battleground.
This analysis provides an overview of the top trends in the retail banking sector driven by the competition, digital transformation, and innovation led by retail banks exploring novel ways to create and retain value in evolving landscape.
COVID-19 caught banks off guard and shook legacy mindsets to the core. With 20/20 (2020) hindsight, firms are more aware, digitally resilient, and financially stable as they head into 2022. The trials of the past 18 months forced firms to shore up existing business and consider new models and revenue streams.
Customer-centricity remains at the top of most FS agendas and is a 2022 focal point. Banks will focus on achieving operational excellence as diligently as delivering superior CX. In 2022 and beyond, it will be paramount for FIs to explore and invest in new technologies to remain relevant and resilient.
Banking 4.X will arrive in full force in 2022 with platform-supported firms monetizing diverse ecosystem capabilities and aggressively harvesting data to create experiential customer journeys through intelligent and personalized engagements. The new era will compel future-focused banks to finally abandon legacy infrastructure and collaborate with third-party specialists to solidify their best-fit, long-term roles. Increasingly, open platforms will make banks invisible as banking becomes embedded into customer lifestyles. At the same time, banks will shed asset-heavy models and shift to the cloud for greater agility, speed to market, and faster innovation. The shift will act as a precursor to adopting new technologies on the horizon – 5G and Decentralized Finance.
The recent past was filled will extraordinary lessons for financial institutions. Now is the time to act on those learnings and move forward profitably.
Financial Data Mining and Algo Trading presented at the SAS Data Mining Confe...Robert Golan
Algorithmic Trading has changed the world the way the Traders trade and Trade Support supports. There is a Brave New World happening with the "hands on" Trading evolving into "hands off" Algo Trading. Not all trades need to be made in ultra low latency timing. Future trading will rely on a broader set of data which will be mined for relevance. For example, an important series of XBRL Financial Reporting events are happening throughout the world and especially in the USA. A critical mass of financial data will be ready for mining which will be a boon for transparent "low touch" fundamental style algorithmic trading.
COVID-19 heightened chronic challenges within the global healthcare industry. It became a catalyst amid fierce competition and tight regulations for health providers and payers to focus on digital health, cybersecurity, patient data transparency, and a variety of customer-centric and operational enhancements. As a result, we found the 2022 trendline pointing to improvements in access and quality of care.
Healthcare challenges such as optimizing the cost of care while simultaneously enabling personalized interventions and consumer-friendly shoppable services are long-standing − but, historically, the industry has been slow to react.
Read our Top Trends 2022 report to examine the lingering ramifications of the pandemic, responses from medical and insurance organizations, and the worldwide impact of ever-changing regulatory standards and mandates.
A combination of factors − the pandemic, catastrophic weather events, evolving policyholder expectations, and insurers’ drive for operational efficiency and future relevance − are sparking P&C industry changes.
In a post-COVID, new-normal environment, the most strategic insurers are building resilient, crisis-proof enterprises poised to take advantage of emerging and future business opportunities. They are leveraging advanced data analytics and novel technologies to assure agility and achieve positive revenue and customer satisfaction outcomes. Competitive advantage will hinge on accelerated digitalization and faster go-to-market. Therefore, win-win partnerships and embedded services with InsurTechs and other ecosystem players are critical.
Read Capgemini’s Top P&C Insurance Trends 2022 for a glimpse at the tactical and strategic initiatives carriers are undertaking to boost customer-centricity, product agility, intelligent processes, and an open ecosystem to ensure profitable growth and future-readiness.
This analysis provides an overview of the top trends in the commercial banking sector as they shift to technology high gear to boost client efficiency and battle a volatile, uncertain, competitive, and evolving landscape.
First, it was retail banking. Now, advanced technology is shifting to – and disrupting − the commercial banking space. Many commercial banks, known for paperwork, red tape, and branch dependency, were unprepared to support clients during their post-COVID-19 ramp-up. But now, the digital pivot to new mindsets, partnerships, and processes is in overdrive.
As commercial banks grapple with competition from FinTechs, BigTechs, and alternative lenders, their inability
to fulfill SME demands and pandemic after-shocks necessitates transformative process changes and a move
to experiential, sustainable, and inclusive banking models. We expect banks to strive to meet the demands
of corporate clients and SMEs by digitally transforming critical workflows and improving client experience.
Additionally, incremental process improvements in the middle and back-office that leverage intelligent
automation will keep the competition at bay because engaged clients are loyal.
Adopting newer methods to mine data and moving to as-a-Service models will prepare commercial banks
to flexibly respond to newcomers and find ways to co-exist through effective collaboration. The time has come for commercial banks to put transformation on the fast track as lending losses in wallet and market share could spill over to other functions!
How incumbents react and respond to 2022 trends could determine their relevancy and resiliency in the years ahead.
The Covid-19 pandemic necessitated the payments industry undergo a facelift, sparked by novel approaches from new-age players, fostered by industry consolidation, and customers’ demand for end-to-end experience. Crossing the threshold, the industry is entering a new era – Payments 4.X, where payments are embedded and invisible, and an enabling function to provide frictionless customer experience. As customers make a permanent shift to next-gen payment methods, Digital IDs are critical for a seamless payment experience. The B2B payments segment is witnessing rapid digitization. BigTechs, PayTechs, and industry newcomers are ready to jump in with newfangled solutions to help underserved small to medium-sized businesses (SMBs).
As incumbents struggle with profits, new-age firms are forging ahead to take the lead in the Payments 4.X era by riding the success of non-card products and services. The new era demands collaboration, platformification, and firms can unleash full market potential only by embracing API-based business models and open ecosystems. Data prowess and enhanced payment processing capabilities are inevitable to thrive ahead. The clock is ticking for banks and traditional payments firms because the competitive advantage is not guaranteed forever. As industry players seek economies of scale, consolidations loom, and non-banks explore new territories to threaten incumbents’ market share. While all these 2022 trends are at play, central bank digital currency (CBDC) is emerging globally and might open a new chapter in the current payments landscape.
As we slowly move out of the pandemic, financial services firms have learned the criticality of virtual engagement to business resilience. Wealth management firms will need capabilities to cater to new-age clients and deliver new-age services. This report aims to understand and analyze the top trends in the Wealth Management industry this year and beyond.
A year ago, our Top Trends in Wealth Management report emphasized how the pandemic sparked disruption and digital transformation and changing investor attitudes around Environmental, Social, and Corporate Governance (ESG) products. As we begin 2022, many of those trends continue to hold as COVID-19’s wide-reaching effects continue to influence the wealth management industry.
As wealth management (WM) firms supercharge their digital transformation journeys, investments in cybersecurity and human-centered design are becoming critical to building superior digital client experience (CX). Another holdover trend − sustainable investing – is gaining mainstream attention and generating increasingly sophisticated client demands. Data and analytics capabilities will become ever more essential for ESG scoring and personalized customer engagement. As large financial services firms refocus on their wealth management business while new digital players make industry strides, competition is becoming historically intense. Not surprisingly, client experience is the new battleground.
This analysis provides an overview of the top trends in the retail banking sector driven by the competition, digital transformation, and innovation led by retail banks exploring novel ways to create and retain value in evolving landscape.
COVID-19 caught banks off guard and shook legacy mindsets to the core. With 20/20 (2020) hindsight, firms are more aware, digitally resilient, and financially stable as they head into 2022. The trials of the past 18 months forced firms to shore up existing business and consider new models and revenue streams.
Customer-centricity remains at the top of most FS agendas and is a 2022 focal point. Banks will focus on achieving operational excellence as diligently as delivering superior CX. In 2022 and beyond, it will be paramount for FIs to explore and invest in new technologies to remain relevant and resilient.
Banking 4.X will arrive in full force in 2022 with platform-supported firms monetizing diverse ecosystem capabilities and aggressively harvesting data to create experiential customer journeys through intelligent and personalized engagements. The new era will compel future-focused banks to finally abandon legacy infrastructure and collaborate with third-party specialists to solidify their best-fit, long-term roles. Increasingly, open platforms will make banks invisible as banking becomes embedded into customer lifestyles. At the same time, banks will shed asset-heavy models and shift to the cloud for greater agility, speed to market, and faster innovation. The shift will act as a precursor to adopting new technologies on the horizon – 5G and Decentralized Finance.
The recent past was filled will extraordinary lessons for financial institutions. Now is the time to act on those learnings and move forward profitably.
While COVID-19 has sparked the demand for life insurance, it has also exposed the operating model vulnerabilities in distribution, servicing, and customer retention. In a post-COVID, new-normal environment, insurers need to enhance their capabilities around advanced data management and focus on seamless and secure data sharing to provide superior CX and hyper-personalized offerings. Accelerated digitalization and faster go-to-market are vital to remaining competitive, and win-win partnerships with ecosystems are critical in the journey.
Read our Top Life Insurance Trends 2022 to explore the tactical and strategic initiatives carriers undertake to acquire competencies around customer centricity, product agility, intelligent processes, and an open ecosystem to ensure profitable growth and future readiness.
Property & Casualty Insurance Top Trends 2021Capgemini
The Property & Casualty insurance landscape is evolving quickly with the changing risk landscape, entry of new players, and changing customer expectations. The ripple effects of COVID-19 on the P&C insurance industry and natural disasters such as forest fires have adversely impacted insurance firm books.
In this scenario, to ensure growth and future-readiness, the most strategic insurers strive to be ‘Inventive Insurers’ – assuming a customer-centric approach, deploying intelligent processes, practicing business resilience and go-to-market agility, and embracing an open ecosystem.
Read our Property & Casualty Insurance Top Trends 2021 report to explore the strategies insurers are adapting to remain competitive amidst the evolving business landscape and how they can explore new ways to enhance their profitability.
A combination of factors such as demographic changes, evolving consumer preferences, and desire to become operationally efficient were already spurring changes in the life insurance industry. Enter 2020 – the COVID-19 pandemic is having a significant impact on the industry.
At the peak of disruption, the focus was on ensuring business continuity, but new initiatives are cropping up to tackle the challenges as the industry is adapting to the new normal.
Furthermore, COVID-19 has acted as a catalyst, pushing life insurers to prioritize their efforts on improving customer centricity, developing go-to-market agility, making processes intelligent, building business resilience, and embracing the open ecosystem.
Read our Life Insurance Top Trends 2021 report to explore the strategies insurers are adopting to manage the changing market dynamics.
The uncertainty of 2020 is setting the global tone for the immediate future in the financial services industry. So it is no surprise banks are laser-focused on business resilience, emphasizing both financial and operational risks. The need to adapt quickly to new normal conditions through virtual customer engagement is clear.
Customer centricity continues to drive commercial banks’ solution designs. And, the pandemic compelled products that deliver immediate client value ‒ quick digital onboarding, seamless lending, and support for small and medium-sized enterprises (SMEs). The onus is now on banks to go to market more quickly, which requires the implementation of intelligent processes and integrating corporates’ enterprise resource planning (ERP) systems with banking workflows.
To achieve go-to-market agility, banks across the globe are investing in and collaborating with FinTechs. Many of these partnerships are focused on boosting digital lending and providing seamless support to anxious small-business clients in need of assurance.
With newfound impetus for FinTech collaboration, commercial banks have picked up their step on the path toward OpenX. COVID-19 made it evident that survival during turbulence is manageable through collaboration with ecosystem players.
Read our Top Trends in Commercial Banking 2021 report to explore the strategies banks are adapting to transform their businesses from a product-led, siloed model to an experiential and agile plan.
When we published the Top Trends in Wealth Management 2020, little did we foresee the pandemic that would sweep through the world and disrupt life as we knew it. Yet, when we reviewed last year’s trends, we found that many still hold and some have taken on even greater relevance. One such trend is sustainable investing, which had begun to gain prominence as investors became more aware of ESG considerations, and firms rolled out more sustainable investing offerings. Another trend that has accelerated in the post-COVID world is the importance of investing in omnichannel capabilities and technologies such as artificial intelligence (AI) to enhance personalization and advisor effectiveness. The pandemic has driven wealth management firms to accelerate their digital transformation journey, with some immediate focus areas being interactive client communications and digital advisor tools.
There is no denying that time is of the essence. Yes, budgets are tight, but the Open X ecosystem offers wealth management firms opportunities to reimagine their operating models and deliver excellent customer experience cost-effectively.
Top trends in Payments: 2020 highlighted the payments industry’s flux driven by new trends in technology adoption, innovative solutions, and changing consumer behavior. The pandemic has tested the digital mastery of players, who are already grappling with transition. Non-cash transactions are on a robust growth path, accelerated by increased adoption during COVID-19. Regulators are working to instill trust and address non-cash payments risk amid unparalleled growth as players collaborate to quell uncertainty. Regional initiatives, such as the P27 (Nordics real-time payments system) and the EPI (European Payments Initiative), are gaining traction in response to country-level fragmentation and competition.
Investment in emerging technologies is looked upon as an elixir to mitigate fraud, data-driven offerings are being considered for providing value-added propositions, and distributed ledger technology is in focus for digital currency solutions, efficiency enhancement, and cost gains. New players, such as retailers/merchants, are integrating payments into their value chains while technology giants are upscaling their financial services game by weaving offerings around payments as a center stage. Constrained by budgets, firms consider business models such as Platform-as-a-Service (PaaS) to provide cost-effective and superior customer experience.
A combination of factors, including demographic changes, evolving consumer preferences, and regulatory and compliance mandates, were already spurring change in the health insurance industry. Enter 2020 and the COVID-19 pandemic, which is having sweeping implications for the industry.
At the peak of disruption, the focus was on ensuring business continuity, but new initiatives are cropping up to tackle the challenges as the industry adapts to the new normal.
Furthermore, some changes are here to stay, and it will be prudent for the industry players to be resilient to the market shifts by being agile, improving member centricity, making processes intelligent, and embracing the open ecosystem.
Read our Health Insurance Top Trends 2021 report to explore the strategies insurers are adopting to manage the external pressures.
The banking industry’s resilience is being tested as banks navigate through a remarkable 2020 filled with uncertainties. The impact of COVID-19 has been about setting the tone for future operational models. Retail banks have shifted focus towards integrated risk management with a more holistic view of operational risks. Adapting to the new normal, banks have prioritized cost transformation while engaging customers virtually. Incumbents sought to be more responsible within fast-changing environmental conditions and ESG remained a critical focus.
To provide more experiential services, banks are leveraging techniques such as segment-of-one to hyper-personalize offerings while aiming to humanize digital channels for increased engagement. Banks are also revamping middle and back offices, going beyond the front end leveraging intelligent processes. Open X is enabling banks to play on their strengths and use the expertise of ecosystem players. Going forward, banks are poised to become an enhanced one-stop shop by providing consumers value-adding FS and non-FS experiences.
To acquire customers in cost-effective manner, retail banks are tapping value-based propositions ‒ such as POS financing and mortgage refinancing. Further, Banking-as-Service provides incumbents a way to provide their high-value offerings to other players. In preparation for the future, banks will be looking to improve their go-to-market agility by leveraging the benefits of cloud. This analysis outlines the top 10 trends in retail banking for 2021.
Explore how Capgemini’s Connected autonomous planning fine-tunes Consumer Products Company’s operations for manufacturing, transport, procurement, and virtually every other aspect of the supply-value network in a touchless, autonomous way.
Financial services is undergoing a paradigm shift that is forcing incumbent retail banks to rethink growth strategies as they struggle to remain relevant. Growing competition from BigTechs, FinTech firms, and challenger banks has added to the complexity created by increasingly stringent regulatory and compliance requirements. Customers now expect a seamless customer journey and personalized offerings because they have become accustomed to top-notch individualized service from GAFA giants Google, Apple, Facebook, and Amazon. The changing ecosystem offers established banks new, unexplored opportunities and encourages a transition beyond traditional products to meet the exacting requirements of today’s customers. Bank collaboration with FinTech and RegTech partners is becoming commonplace. Incumbents are exploring point-of-sale financing and unsecured consumer lending, while they also boost their digital channel competencies to reach a broader customer base. Banks are beginning to accept open APIs and are working with third-party specialists to create an open shared marketplace. Technological advancements such as AI are fueling efforts to evolve customer onboarding and touchpoint processes. Increasingly, banks are turning to design thinking methodology to understand the customer journey, extract deep insights, and develop a more refined user experience across the customer lifecycle.
Our analysis of the top retail banking trends for 2020 offers a glimpse into the fast-changing banking ecosystem and explores the tools and solutions being used to face new-age challenges.
Aspects of the life insurance industry have remained constant for years – and so have premiums. Traditional savings products have taken a huge hit in terms of attractiveness because low interest-rates prevail. Meanwhile, the risk landscape is shifting, and insurers need to align better with the emerging business environment, manage changing customer preferences, and improve operational efficiencies. Within today’s scenario, industry players are undertaking tactical and strategic shifts in attempts to manage unpredictable market dynamics. Insurers must develop alternative products to breathe new life into policies and leverage emerging technologies (artificial intelligence (AI), analytics, and blockchain) to improve efficiency, agility, flexibility, and customer-centricity.
Read Top Trends in Life Insurance: 2020 for a look at the innovative steps future-focused insurers are considering to meet industry challenges and opportunities.
The health insurance industry is evolving and undergoing significant changes. As the risk landscape shifts, insurers are working to improve operational efficiencies, meet evolving customer preferences, and align better with the changing business environment. Accordingly, payers must adapt and align business models and offerings. An incisive tactical approach is required to accommodate members’ needs and related emerging risks — medical, health, and environmental. Advanced technologies such as artificial intelligence, analytics, automation, and connected devices are enabling insurers to manage these changes proactively, partner with members, and help to prevent risks, all the while continuing to fulfill payer responsibilities.
Read Top Trends in Health Insurance: 2020 to learn which strategies insurers are adopting to navigate and align with today’s challenges.
Similar to other financial services domains, payments is evolving into an open ecosystem. The EU’s Payment Services Directive (PSD2) pioneered open banking by encouraging banks and established payments players to securely open the systems to foster competition, innovation, and more customer choices. In tandem with non-cash transaction growth, regulations are driving banks and payments firms to expand their array of payment methods and channels. Governments are encouraging financial inclusion by also promoting the adoption of non-cash payments. Increasingly, merchants and corporates seek to offer alternative payment systems because of widespread popularity among consumers. Alternative payments also enable merchants to provide real-time and cross-border payments to boost business efficiency.
Banks, payment firms, card firms, BigTechs, FinTechs, and other players are continuously developing new technology to cash in on market changes. However, data breaches and fraud continue to hinder innovation as firms devote countless resources each year to address security issues. Many governments are also designing new regulations to reduce ecosystem threats. All these measures are expected to make the current ecosystem much more secure and simple for players as well as customers.
Top Trends in Payments: 2020 explores and analyzes payments ecosystem initiatives and solutions for this year and beyond
The commercial banking industry faces daunting challenges. Operational costs continue to rise. Corporate clients seek convenience and personalized products and services. Cybersecurity is a major concern as more and more bank processes become digitalized. Compliance with wide-ranging open banking regulations is mandatory. The entry of BigTechs and other players is heating up competitive pressure. Therefore, it is essential for banks to transform and adapt to the changing business environment.
Read our Top Trends in Commercial Banking: 2020 report for analyses of the initiatives, new solutions, and trends expected to shape the commercial banking ecosystem in 2020 and beyond.
Wealth management is facing significant disruption on two fronts – customer experience and digital transformation. To effectively succeed within these turbulent times, understanding client demographics and expectations is essential. Firms can leverage deep customer insights to grasp their clients’ changing ethos and develop solutions accordingly. Improved customer satisfaction often drives competitive advantage. As firms prioritize superior customer experience, they are adopting intelligent solutions such as analysis of consumer sentiments to deliver hyper-personalized services. Firms are also leveraging artificial intelligence (AI) and machine learning (ML) techniques to improve client-advisor relationships. To innovate, especially within legacy infrastructures, organizations must embrace open APIs to scale technology capability with support from WealthTech newcomers and third-party vendors that offer generic and customizable API-based platforms. Regulations such as the EU’s General Data Protection Regulation (GDPR) and know your customer (KYC) mandates are pushing firms to ramp up cybersecurity and automate cumbersome client onboarding processes, in a data-driven compliance scenario.
How to get off the white elephant of physical and leverage the true benefits ...Capgemini
In the modern world of immediacy, how do we kill latency whilst reducing business costs and delivering rapid value? Stuart Fleming (Vice President, Cloud Services,
Capgemini UK) provides insights into the successful implementation of a scalable hybrid cloud platform which allows quick access to AWS with a simple migration approach leveraging VMware’s tools.
Connected Autonomous Planning: a continuous touchless model enabling an agile...Capgemini
Phil Davies, Head of Consumer Products, Retail and Distribution, Capgemini Invent and Michael McCullough, Supply Chain Lead, Capgemini US discussed “How using Intelligent Automation drives a step change in planning effectiveness and efficiency” at Kinexions 2019, the annual destination for users and supply chain innovators to showcase how to accelerate innovation, shorten time-to-value and maximize competitive advantage.
Capgemini’s Connected Autonomous Planning is a holistic approach to develop touchless planning solutions that creates a more easily automated, agile and responsive supply chain to support the needs of the future consumer and channels.
Data Center of the Future: Designing a modernized, high performance computing...Capgemini
With cloud being hailed as the new black, customers are increasingly looking to easily leverage Hybrid Cloud and Hyper-Converged Architecture, without transformation in technology. At VMworld US 2019, Eric Killinger, Director, IT strategy, Capgemini NA, spoke about how Capgemini makes cloud run better by simplifying infrastructure for your existing landscape via a software-defined data center, supporting immediate OPEX savings, real-time data processing and cloud-based scalability and cost predictability, illustrating the joint success with VMware of such a rollout at Hydro One.
Speaker:
Mike Davidson, Executive Creative Director at Capgemini in North America.
With the right narrative, brands can speak to their consumers in ways that resonate and drive conversion. In this session, Capgemini DCX North America’s Executive Creative Director will explore trends and techniques to better connect the narratives from initial marketing efforts to a completed purchase. We'll also provide examples of who's using these techniques and how, so attendees can leverage it in a meaningful way.
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US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
While COVID-19 has sparked the demand for life insurance, it has also exposed the operating model vulnerabilities in distribution, servicing, and customer retention. In a post-COVID, new-normal environment, insurers need to enhance their capabilities around advanced data management and focus on seamless and secure data sharing to provide superior CX and hyper-personalized offerings. Accelerated digitalization and faster go-to-market are vital to remaining competitive, and win-win partnerships with ecosystems are critical in the journey.
Read our Top Life Insurance Trends 2022 to explore the tactical and strategic initiatives carriers undertake to acquire competencies around customer centricity, product agility, intelligent processes, and an open ecosystem to ensure profitable growth and future readiness.
Property & Casualty Insurance Top Trends 2021Capgemini
The Property & Casualty insurance landscape is evolving quickly with the changing risk landscape, entry of new players, and changing customer expectations. The ripple effects of COVID-19 on the P&C insurance industry and natural disasters such as forest fires have adversely impacted insurance firm books.
In this scenario, to ensure growth and future-readiness, the most strategic insurers strive to be ‘Inventive Insurers’ – assuming a customer-centric approach, deploying intelligent processes, practicing business resilience and go-to-market agility, and embracing an open ecosystem.
Read our Property & Casualty Insurance Top Trends 2021 report to explore the strategies insurers are adapting to remain competitive amidst the evolving business landscape and how they can explore new ways to enhance their profitability.
A combination of factors such as demographic changes, evolving consumer preferences, and desire to become operationally efficient were already spurring changes in the life insurance industry. Enter 2020 – the COVID-19 pandemic is having a significant impact on the industry.
At the peak of disruption, the focus was on ensuring business continuity, but new initiatives are cropping up to tackle the challenges as the industry is adapting to the new normal.
Furthermore, COVID-19 has acted as a catalyst, pushing life insurers to prioritize their efforts on improving customer centricity, developing go-to-market agility, making processes intelligent, building business resilience, and embracing the open ecosystem.
Read our Life Insurance Top Trends 2021 report to explore the strategies insurers are adopting to manage the changing market dynamics.
The uncertainty of 2020 is setting the global tone for the immediate future in the financial services industry. So it is no surprise banks are laser-focused on business resilience, emphasizing both financial and operational risks. The need to adapt quickly to new normal conditions through virtual customer engagement is clear.
Customer centricity continues to drive commercial banks’ solution designs. And, the pandemic compelled products that deliver immediate client value ‒ quick digital onboarding, seamless lending, and support for small and medium-sized enterprises (SMEs). The onus is now on banks to go to market more quickly, which requires the implementation of intelligent processes and integrating corporates’ enterprise resource planning (ERP) systems with banking workflows.
To achieve go-to-market agility, banks across the globe are investing in and collaborating with FinTechs. Many of these partnerships are focused on boosting digital lending and providing seamless support to anxious small-business clients in need of assurance.
With newfound impetus for FinTech collaboration, commercial banks have picked up their step on the path toward OpenX. COVID-19 made it evident that survival during turbulence is manageable through collaboration with ecosystem players.
Read our Top Trends in Commercial Banking 2021 report to explore the strategies banks are adapting to transform their businesses from a product-led, siloed model to an experiential and agile plan.
When we published the Top Trends in Wealth Management 2020, little did we foresee the pandemic that would sweep through the world and disrupt life as we knew it. Yet, when we reviewed last year’s trends, we found that many still hold and some have taken on even greater relevance. One such trend is sustainable investing, which had begun to gain prominence as investors became more aware of ESG considerations, and firms rolled out more sustainable investing offerings. Another trend that has accelerated in the post-COVID world is the importance of investing in omnichannel capabilities and technologies such as artificial intelligence (AI) to enhance personalization and advisor effectiveness. The pandemic has driven wealth management firms to accelerate their digital transformation journey, with some immediate focus areas being interactive client communications and digital advisor tools.
There is no denying that time is of the essence. Yes, budgets are tight, but the Open X ecosystem offers wealth management firms opportunities to reimagine their operating models and deliver excellent customer experience cost-effectively.
Top trends in Payments: 2020 highlighted the payments industry’s flux driven by new trends in technology adoption, innovative solutions, and changing consumer behavior. The pandemic has tested the digital mastery of players, who are already grappling with transition. Non-cash transactions are on a robust growth path, accelerated by increased adoption during COVID-19. Regulators are working to instill trust and address non-cash payments risk amid unparalleled growth as players collaborate to quell uncertainty. Regional initiatives, such as the P27 (Nordics real-time payments system) and the EPI (European Payments Initiative), are gaining traction in response to country-level fragmentation and competition.
Investment in emerging technologies is looked upon as an elixir to mitigate fraud, data-driven offerings are being considered for providing value-added propositions, and distributed ledger technology is in focus for digital currency solutions, efficiency enhancement, and cost gains. New players, such as retailers/merchants, are integrating payments into their value chains while technology giants are upscaling their financial services game by weaving offerings around payments as a center stage. Constrained by budgets, firms consider business models such as Platform-as-a-Service (PaaS) to provide cost-effective and superior customer experience.
A combination of factors, including demographic changes, evolving consumer preferences, and regulatory and compliance mandates, were already spurring change in the health insurance industry. Enter 2020 and the COVID-19 pandemic, which is having sweeping implications for the industry.
At the peak of disruption, the focus was on ensuring business continuity, but new initiatives are cropping up to tackle the challenges as the industry adapts to the new normal.
Furthermore, some changes are here to stay, and it will be prudent for the industry players to be resilient to the market shifts by being agile, improving member centricity, making processes intelligent, and embracing the open ecosystem.
Read our Health Insurance Top Trends 2021 report to explore the strategies insurers are adopting to manage the external pressures.
The banking industry’s resilience is being tested as banks navigate through a remarkable 2020 filled with uncertainties. The impact of COVID-19 has been about setting the tone for future operational models. Retail banks have shifted focus towards integrated risk management with a more holistic view of operational risks. Adapting to the new normal, banks have prioritized cost transformation while engaging customers virtually. Incumbents sought to be more responsible within fast-changing environmental conditions and ESG remained a critical focus.
To provide more experiential services, banks are leveraging techniques such as segment-of-one to hyper-personalize offerings while aiming to humanize digital channels for increased engagement. Banks are also revamping middle and back offices, going beyond the front end leveraging intelligent processes. Open X is enabling banks to play on their strengths and use the expertise of ecosystem players. Going forward, banks are poised to become an enhanced one-stop shop by providing consumers value-adding FS and non-FS experiences.
To acquire customers in cost-effective manner, retail banks are tapping value-based propositions ‒ such as POS financing and mortgage refinancing. Further, Banking-as-Service provides incumbents a way to provide their high-value offerings to other players. In preparation for the future, banks will be looking to improve their go-to-market agility by leveraging the benefits of cloud. This analysis outlines the top 10 trends in retail banking for 2021.
Explore how Capgemini’s Connected autonomous planning fine-tunes Consumer Products Company’s operations for manufacturing, transport, procurement, and virtually every other aspect of the supply-value network in a touchless, autonomous way.
Financial services is undergoing a paradigm shift that is forcing incumbent retail banks to rethink growth strategies as they struggle to remain relevant. Growing competition from BigTechs, FinTech firms, and challenger banks has added to the complexity created by increasingly stringent regulatory and compliance requirements. Customers now expect a seamless customer journey and personalized offerings because they have become accustomed to top-notch individualized service from GAFA giants Google, Apple, Facebook, and Amazon. The changing ecosystem offers established banks new, unexplored opportunities and encourages a transition beyond traditional products to meet the exacting requirements of today’s customers. Bank collaboration with FinTech and RegTech partners is becoming commonplace. Incumbents are exploring point-of-sale financing and unsecured consumer lending, while they also boost their digital channel competencies to reach a broader customer base. Banks are beginning to accept open APIs and are working with third-party specialists to create an open shared marketplace. Technological advancements such as AI are fueling efforts to evolve customer onboarding and touchpoint processes. Increasingly, banks are turning to design thinking methodology to understand the customer journey, extract deep insights, and develop a more refined user experience across the customer lifecycle.
Our analysis of the top retail banking trends for 2020 offers a glimpse into the fast-changing banking ecosystem and explores the tools and solutions being used to face new-age challenges.
Aspects of the life insurance industry have remained constant for years – and so have premiums. Traditional savings products have taken a huge hit in terms of attractiveness because low interest-rates prevail. Meanwhile, the risk landscape is shifting, and insurers need to align better with the emerging business environment, manage changing customer preferences, and improve operational efficiencies. Within today’s scenario, industry players are undertaking tactical and strategic shifts in attempts to manage unpredictable market dynamics. Insurers must develop alternative products to breathe new life into policies and leverage emerging technologies (artificial intelligence (AI), analytics, and blockchain) to improve efficiency, agility, flexibility, and customer-centricity.
Read Top Trends in Life Insurance: 2020 for a look at the innovative steps future-focused insurers are considering to meet industry challenges and opportunities.
The health insurance industry is evolving and undergoing significant changes. As the risk landscape shifts, insurers are working to improve operational efficiencies, meet evolving customer preferences, and align better with the changing business environment. Accordingly, payers must adapt and align business models and offerings. An incisive tactical approach is required to accommodate members’ needs and related emerging risks — medical, health, and environmental. Advanced technologies such as artificial intelligence, analytics, automation, and connected devices are enabling insurers to manage these changes proactively, partner with members, and help to prevent risks, all the while continuing to fulfill payer responsibilities.
Read Top Trends in Health Insurance: 2020 to learn which strategies insurers are adopting to navigate and align with today’s challenges.
Similar to other financial services domains, payments is evolving into an open ecosystem. The EU’s Payment Services Directive (PSD2) pioneered open banking by encouraging banks and established payments players to securely open the systems to foster competition, innovation, and more customer choices. In tandem with non-cash transaction growth, regulations are driving banks and payments firms to expand their array of payment methods and channels. Governments are encouraging financial inclusion by also promoting the adoption of non-cash payments. Increasingly, merchants and corporates seek to offer alternative payment systems because of widespread popularity among consumers. Alternative payments also enable merchants to provide real-time and cross-border payments to boost business efficiency.
Banks, payment firms, card firms, BigTechs, FinTechs, and other players are continuously developing new technology to cash in on market changes. However, data breaches and fraud continue to hinder innovation as firms devote countless resources each year to address security issues. Many governments are also designing new regulations to reduce ecosystem threats. All these measures are expected to make the current ecosystem much more secure and simple for players as well as customers.
Top Trends in Payments: 2020 explores and analyzes payments ecosystem initiatives and solutions for this year and beyond
The commercial banking industry faces daunting challenges. Operational costs continue to rise. Corporate clients seek convenience and personalized products and services. Cybersecurity is a major concern as more and more bank processes become digitalized. Compliance with wide-ranging open banking regulations is mandatory. The entry of BigTechs and other players is heating up competitive pressure. Therefore, it is essential for banks to transform and adapt to the changing business environment.
Read our Top Trends in Commercial Banking: 2020 report for analyses of the initiatives, new solutions, and trends expected to shape the commercial banking ecosystem in 2020 and beyond.
Wealth management is facing significant disruption on two fronts – customer experience and digital transformation. To effectively succeed within these turbulent times, understanding client demographics and expectations is essential. Firms can leverage deep customer insights to grasp their clients’ changing ethos and develop solutions accordingly. Improved customer satisfaction often drives competitive advantage. As firms prioritize superior customer experience, they are adopting intelligent solutions such as analysis of consumer sentiments to deliver hyper-personalized services. Firms are also leveraging artificial intelligence (AI) and machine learning (ML) techniques to improve client-advisor relationships. To innovate, especially within legacy infrastructures, organizations must embrace open APIs to scale technology capability with support from WealthTech newcomers and third-party vendors that offer generic and customizable API-based platforms. Regulations such as the EU’s General Data Protection Regulation (GDPR) and know your customer (KYC) mandates are pushing firms to ramp up cybersecurity and automate cumbersome client onboarding processes, in a data-driven compliance scenario.
How to get off the white elephant of physical and leverage the true benefits ...Capgemini
In the modern world of immediacy, how do we kill latency whilst reducing business costs and delivering rapid value? Stuart Fleming (Vice President, Cloud Services,
Capgemini UK) provides insights into the successful implementation of a scalable hybrid cloud platform which allows quick access to AWS with a simple migration approach leveraging VMware’s tools.
Connected Autonomous Planning: a continuous touchless model enabling an agile...Capgemini
Phil Davies, Head of Consumer Products, Retail and Distribution, Capgemini Invent and Michael McCullough, Supply Chain Lead, Capgemini US discussed “How using Intelligent Automation drives a step change in planning effectiveness and efficiency” at Kinexions 2019, the annual destination for users and supply chain innovators to showcase how to accelerate innovation, shorten time-to-value and maximize competitive advantage.
Capgemini’s Connected Autonomous Planning is a holistic approach to develop touchless planning solutions that creates a more easily automated, agile and responsive supply chain to support the needs of the future consumer and channels.
Data Center of the Future: Designing a modernized, high performance computing...Capgemini
With cloud being hailed as the new black, customers are increasingly looking to easily leverage Hybrid Cloud and Hyper-Converged Architecture, without transformation in technology. At VMworld US 2019, Eric Killinger, Director, IT strategy, Capgemini NA, spoke about how Capgemini makes cloud run better by simplifying infrastructure for your existing landscape via a software-defined data center, supporting immediate OPEX savings, real-time data processing and cloud-based scalability and cost predictability, illustrating the joint success with VMware of such a rollout at Hydro One.
Speaker:
Mike Davidson, Executive Creative Director at Capgemini in North America.
With the right narrative, brands can speak to their consumers in ways that resonate and drive conversion. In this session, Capgemini DCX North America’s Executive Creative Director will explore trends and techniques to better connect the narratives from initial marketing efforts to a completed purchase. We'll also provide examples of who's using these techniques and how, so attendees can leverage it in a meaningful way.
NO1 Uk Black Magic Specialist Expert In Sahiwal, Okara, Hafizabad, Mandi Bah...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
how can I sell my pi coins for cash in a pi APPDOT TECH
You can't sell your pi coins in the pi network app. because it is not listed yet on any exchange.
The only way you can sell is by trading your pi coins with an investor (a person looking forward to hold massive amounts of pi coins before mainnet launch) .
You don't need to meet the investor directly all the trades are done with a pi vendor/merchant (a person that buys the pi coins from miners and resell it to investors)
I Will leave The telegram contact of my personal pi vendor, if you are finding a legitimate one.
@Pi_vendor_247
#pi network
#pi coins
#money
how can I sell my mined pi coins profitabily.DOT TECH
Even tho. Pi is not launched yet on any exchange worldwide. You can easily sell your mined pi coins for cash or other cryptocurrencies, Through verified vendors/merchants
Who is a pi vendor?
A pi vendor is a person, that buys pi coins from miners and resell them to Investors interested in holding pi coins till mainnet launch in 2026…
I will leave the whatsapp contact of my personal pi vendor. Highly recommendable…………
@Pi_vendor_247
#pi network
#pi coins
#money
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
how can i use my minded pi coins I need some funds.DOT TECH
If you are interested in selling your pi coins, i have a verified pi merchant, who buys pi coins and resell them to exchanges looking forward to hold till mainnet launch.
Because the core team has announced that pi network will not be doing any pre-sale. The only way exchanges like huobi, bitmart and hotbit can get pi is by buying from miners.
Now a merchant stands in between these exchanges and the miners. As a link to make transactions smooth. Because right now in the enclosed mainnet you can't sell pi coins your self. You need the help of a merchant,
i will leave the telegram contact of my personal pi merchant below. 👇 I and my friends has traded more than 3000pi coins with him successfully.
@Pi_vendor_247
Even tho Pi network is not listed on any exchange yet.
Buying/Selling or investing in pi network coins is highly possible through the help of vendors. You can buy from vendors[ buy directly from the pi network miners and resell it]. I will leave the telegram contact of my personal vendor.
@Pi_vendor_247
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
how can i trade pi coins for Bitcoin easily.DOT TECH
Pi is not launched yet on any exchange, it is not sellable, but you can actually exchange your I network coins to other currencies. By selling your pi network coins to investors and holders of the coins.
How can I find a pi network investor
Lol, you don't need to find a investor all you have to do is to sell your pi coins to a vendor [ buys from miners and resells to the holders]
I will leave the whatsapp contact of my personal pi network vendor to trade Pi coins with.
@Pi_vendor_247
#pi network
#pi
#passive income
#legit
#bitcoin
Yeah. The safest way you can sell your locked pi coins right now is through face to face trade. Or you find a legit merchant/vendor and make sure he is trusted before you trade with him/her.
A vendor is someone who buys pi coins and resell them to investors looking forward to hold large quantities of pi coins till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
#sellpicoins
#pi network
#pi
how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
Empowering the Unbanked: The Vital Role of NBFCs in Promoting Financial Inclu...Vighnesh Shashtri
In India, financial inclusion remains a critical challenge, with a significant portion of the population still unbanked. Non-Banking Financial Companies (NBFCs) have emerged as key players in bridging this gap by providing financial services to those often overlooked by traditional banking institutions. This article delves into how NBFCs are fostering financial inclusion and empowering the unbanked.
PD ARRAY THEORY FOR INTERMEDIATE (1).pdfJerrySMaliki
Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges.
Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
PD array is the distinction between Premium to Discount inside that
dealing range including the array list inside the two ranges. Dealing range is the new trading range formed after buyside and sale side
is taken.
how to sell pi coins on Bitmart crypto exchangeDOT TECH
Yes. Pi network coins can be exchanged but not on bitmart exchange. Because pi network is still in the enclosed mainnet. The only way pioneers are able to trade pi coins is by reselling the pi coins to pi verified merchants.
A verified merchant is someone who buys pi network coins and resell it to exchanges looking forward to hold till mainnet launch.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
Grabbing Value from Big Data: Mining for Diamonds in Financial Services
1. Financial Services the way we see it
Grabbing Value from Big Data: Mining
for Diamonds in Financial Services
How financial services companies can harness the innovative power of big data
3. Financial Services the way we see it
Table of Contents
1. Matching Business Objectives and Data Analytics
5
2. Diamonds in the Rough
7
3. Value Creation: Target Actionable Areas that Impact
Business Outcomes
9
4. Are You on the Right Path for Big Data?
11
3
4. Big data is not just a technology issue nor is it only
about data. Big data is about enabling business users
to make decisions that create value. It is important to
define what the technology toolset must address to
enable FS businesses to establish organizational trust
and harness the innovation possibilities of big data. But
companies tackling big data should not limit their focus
to the technology solution. Their goal should be to help
business leaders (CMOs, CFOs and others) make better
sense of the real data they have, get to it quickly and
make valuable decisions.
What do financial services (FS) companies need to
know to derive the right business opportunities from
big data? This paper focuses on helping FS companies
maximize the value they generate from big data from
the business perspective. To better understand the
technology component of big data value generation, see
Grabbing Value from Big Data: The New Game Changer
for Financial Services.
4
Grabbing Value from Big Data: Mining for Diamonds in Financial Services
5. Financial Services the way we see it
Matching Business Objectives
and Data Analytics
The journey toward being able to use data to gain insights
about your business is a challenging one, involving six
distinct steps: Setting business objectives, acquiring the
data, cleansing it, analyzing it, gaining actionable insights,
and achieving successful outcomes. At each stage, firms are
faced with pitfalls that arise. Improperly stored, improperly
cleansed, or non-indexed data may obstruct the task of data
acquisition. Similarly, improper categorization of data, not
gathering data at the desired frequency and not being able to
separate the good data from the bad data can make the task
of marshaling data effectively non-achievable. Furthermore,
the insights generated might be rendered non actionable if
they are not in sync with business objectives.
In most cases the pitfalls that occur in the big data journey
are because of a lack of congruence between the data
analytics approach and the business objectives set early
in the journey. First and foremost, it is critical that financial
services firms follow a business objective-led approach. This
means that the types of problems the bank or insurer tackles
should be based on the business outcomes it most wants to
achieve. Furthermore, when considering possible business
outcomes, financial services firms should be unconstrained in
their thinking about what technology can support. As big data
technology can process massive volumes of data in near realtime, opportunities previously considered unattainable may
now be possible.
ICICI Bank in India focused a big data effort on operational
efficiency by working to derive actionable insights to improve
debt collection. India’s ICICI Bank wanted to improve its
rates of debt collection without alienating customers. It also
wanted to bring efficiencies to a process that traditionally had
been carried out manually by agents in the field. By taking
advantage of non-intrusive channels, such as e-mail, phone
calls and letters, the bank hoped to improve collections from
early delinquents while still maintaining strong relationships
with them. The challenge was to match each case to the
most appropriate collection channel, based on the level
of delinquency.
5
6. Figure 1. Business-Oriented Approach to Leverage Customer Data
Foundation
Business
Objectives
Acquisition
Marshaling
Analysis / Insights
Business
KPIs
Semi-structured
Data
Process
System
Data
Data
Analytics
Social
Media Data
Insights
Data Flow
The bank adopted an analytics system that captures
the details of each delinquent case and assigns it to the
appropriate channel or agent. The model factors in a wide
range of parameters, including exposure, risk behavior,
customer profile and even the efficiency of the collector, to
identify the best method of collection. The new system has
helped to substantially reduce credit losses and improve
productivity. In the area of auto loans, for example, the bank
increased debt collections by 50 percent. In some areas,
it has reduced its manpower needs by 80 percent. And
turnaround time on collections has been condensed from fiveto-six days, to a matter of hours.
A leading U.S. retail bank focused its big data effort on
improving the customer experience. This bank collects
massive amounts of data on customer behavior and channel
interactions, but kept it stored in different data warehouses.
The bank wanted to bring all the data together to analyze
it and create a more holistic picture of customers. With the
in-depth customer data it hoped to develop more targeted
product offers as well as more appealing online content. The
ultimate goal was to improve the overall customer experience.
Business
Transformation
Technology
Unstructured
Data
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Outcome
Structured
Data
Customer
Data
Scope
Action
Actions
Outcomes
Decision Flow
The bank installed an analytics system that integrates data
from online and offline channels, resulting in a more global
understanding of customers and how they interact through
all the bank’s touch points. This integrated data feeds into the
bank’s customer relationship management platform, supplying
the call center with more relevant leads. It also informs the
bank’s decisions on how to design its web site to optimize
customer engagement.
Through the detailed insights it offers into customer behaviors
and preferences, the analytics system is helping the bank
deepen customer relationships and create more personalized
experiences. Specifically, the bank has increased conversions
from inbound and outbound calls by 100 percent. It also has
executed three major website redesigns in 18 months, using
data-driven insights to optimize the content and increase
customer engagement.
Grabbing Value from Big Data: Mining for Diamonds in Financial Services
7. Financial Services the way we see it
Diamonds in the Rough
With business objectives in mind, there are a few big data
“diamond” initiatives financial services firms should consider—
ones that, in most banks and insurance companies are likely
to drive specific, positive business outcomes and are “real”
and operational today.
Sentiment analysis
Sentiment analysis can be used to determine insights into
stakeholder (customers, employees, regulators etc.) sentiment
from massive, complex unstructured data. All types of
electronic communication data from emails to documents can
be analyzed to determine sentiment trends over a period of
time, correlate sentiment time series with any other time series
of interest and generate actionable messages for a given user
or entity (product, geography).
Business applications include such things as a ‘Voice-ofCustomer’ platform based on data available in call records,
emails, blogs and social media data or to improve predictive
models for risk, fraud, or cross-selling by combining
Sentiment Analytics. Customer sentiment can also be used
in product development to accelerate speed to market and
employee sentiment can be used to analyze data such as
employee satisfaction surveys for staff retention insights and
other HR objectives.
Figure 2. Key FS Applications for Sentiment Analysis
• A routine review of corporate system emails
might reveal the sentiments of employees
regarding individual projects or the institution
at large
• Analysis of unstructured comments on
the employment satisfaction survey can
result in valuable insights for staff retention,
recruitment and other HR objectives
• Words contained in financial news
publications, shareholder reports, etc.,
provide textual context and clarification when
combined with traditional transactional data
to improve Risk Assessments and Mitigation
• A bank can use sentiment analysis to better
understand the Voice of Customer based on
available data residing in forums, blogs and
other social media
Customer
Relationship
Management
Employee
Satisfaction
Fraud
Detection
Risk (especially
Operational)
• By analysing unstructured customer
sentiment data, banks can better determine
where to invest funds targeted at the
acquisition and/or retentions of customer
assets
• A combined predictive analysis, speech
analytics and social media analytics can
be used to detect and prevent fraud. For
example, in an insurance setting, analysis
of a claimant’s speech and social media
communications can be used to generate a
risk score for the claimant, which can then be
used to detect fraud before issuing a policy
Sentiment Analysis can play signigficant role in Banking Domain applications such as CRM, Fraud and Risk
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8. Customer churn and
next best action
In customer churn analysis multiple streams of data such as
transactions, customer profiles, and social media data are
sourced and stored on a big data platform. The data is then
analyzed to create sentiment scores and determine the churn
probability of customers. This platform also provides the
insight for financial services firms to offer the right product
to the right person at the right time (next best action) by
determining and recalculating probabilities and offers based
on customer actions in a near real-time mode. There are
numerous business applications for customer churn analysis
including cross-selling and attrition mitigation to increase
profitability for retail banking or insurance, determining
product pricing trends and determining how a particular offer
will be received by a customer or set of customers.
Insurance subrogation
Subrogation analytics can be used to determine the
probability of a successful subrogation. Even a small
improvement in subrogation efforts can yield an attractive
return on investment. An insurance company with an effective
subrogation department can offer lower premiums to their
policyholders. Any monies recovered through the subrogation
process go directly to the insurance company’s bottom line.
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For instance, for auto collision claims, Capgemini has
built the capability to calculate a fault measure score
using text analytics on unstructured data such as police
reports, emails, survey responses etc. The idea behind this
measure is to attribute the fault probabilistically to either
driver and then to inform the claims department to focus
only on the likely to succeed claims where the fault of the
non-policy-holder is deemed to be greater. Fault measure
in turn is used to calculate two key outputs: Probability of
the success of subrogation and the settlement amount from
successful subrogation.
Fraud detection
Big data can be used to determine circular trading or trade
manipulation patterns for a given instrument in a specific
period of time and thus increase detection of internal trading.
It can also be used to determine potentially fraudulent
transactions in near real time based on multiple characteristics
or factors which can be aggregated by combining other data
such as utility bills, taxes paid, magazine subscriptions etc. to
decipher footprint (in physical world) and behavior patterns
and to differentiate false identities from real ones.
Each of these diamonds is well aligned to financial services
company business objectives, is readily operational, and
can typically be implemented based on data the FS firm is
already collecting.
Grabbing Value from Big Data: Mining for Diamonds in Financial Services
9. Financial Services the way we see it
Value Creation: Target Actionable Areas
that Impact Business Outcomes
There are both technology and business dimensions to
determining the value of big data initiatives. From a business
perspective, accurate and timely decision-making allows
firms to reduce risks and losses, lower regulatory capital
requirements, compete more effectively in their target markets,
capitalize on emerging business opportunities and enhance
investor confidence. To successfully leverage the huge
amount of data at their disposal, banks and insurers need to
establish confidence in the minds of executives who struggle
with trusting information used to make decisions. They need
to create the governance required to leverage data effectively
across the enterprise and adopt technology strategies that
are led by business objectives. Then, they must pick specific
actionable areas to address that will impact the desired
business outcomes.
Financial Services the way we see it
Grabbing Value from Big Data: The New
Game Changer for Financial Services
How financial services companies can harness the innovative power of big data
For insight on the technology
component of big data value creation,
please see Grabbing Value from Big
Data: The New Game Changer for
Financial Services.
Also, view these quick videos for more direct commentary
from our Big Data experts:
• Big Data for FS – Fact or Fiction: What you need to
know about the characteristics of big data to make the best
decisions about your technology toolset.
• Big Data “Diamond” Opportunities for FS: Identifying
the real, operational opportunities that are likely to drive
specific, positive business outcomes in most banks and
insurance companies today.
• Calculating Value from Big Data: Integrating the
technology and business perspectives on value to harness
the true innovation power from big data initiatives.
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11. Financial Services the way we see it
Are You on the Right Path for Big Data?
Have you…..
If not…..
Appointed a chief data officer
that will look across all of the
Big Data opportunities?
It is difficult to leverage Big Data without a holistic view
because efforts are fragmented and inefficient. A data
policy is required to set guidelines for what data can be
used, levels of security and regulation, etc.
Identified the best set of
opportunities for Big Data
analytics based on desired
business outcomes?
Here are two fundamental considerations to chart an
initial course:
• Do you have enough of the right information to
capitalize on the most important opportunities to
improve the customer experience?
• Do you have enough of the right information in the
hands of the right employees at the right time to control
your business?
Created the innovation
capability within the
organization to leverage Big
Data effectively?
Decided about creating the
capability and capacity in
terms of resources to support
your Big Data Innovation lab
that is creating a team of ‘Data
Scientists’
Here are some considerations to prepare a blueprint for
the Innovation lab:
• Have you created a priority list of the use cases along
with specific business outcomes?
• Do you want to host the infrastructure completely
inside the organization or benefit from the very
competitive pricing of cloud providers (especially
Amazon)
• What’s the acceptance of open source software in your
organization and the extent of use if acceptable
Data Scientist is a role that requires at least some
knowledge of the following: applied statistics,
programming and networking. We therefore suggest
that you consider resources with formal training in
statistics/ mathematics and programming. Teaching
networking essentials is easier than statistics/math and
programming.
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