What does data tell you about the customer journey?IBM Analytics
In this omnichannel world, consumers leave clues about their purchasing decisions at every touch point. What data analytics can you leverage to optimize your marketing message and merchandising? Well, it turns out, a lot.
Big Data in Retail - Examples in ActionDavid Pittman
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com
Follow us on Twitter.com/IBMbigdata
Magento als uw e-commerce platform
Maandag 1 december, E-Commerce, Kortrijk Xpo
Ontdek welke mogelijkheden het Magento platform biedt om uw e-commerce strategie mee uit te bouwen. Welke basis features zijn onmisbaar in uw webshop en hoe kan uw basispakket uitgebreid worden met de beste modules? Kom het ontdekken.
Data convergence & personalization in retailPlexure
As retailers move towards this unified commerce strategy, marketers are learning a lot of lessons about the curse of data silos; the practice of keeping data from different sources separated from each other. Silos may or may not be under the control of one department within a company, but the defining feature is that they don’t play nice with each other. If the marketing department can’t easily combine data from in-store point of sale, social media and e-commerce sites, then unified commerce’s promise of a seamless customer experience isn’t going to be fulfilled. One of the reasons platforms like VMob are being used more and more is that they make the convergence of previously siloed data a streamlined process.
Learn how retailers can leverage their own Big Data. Go from data sources to increasing profits, margins and market share at a fraction of the time and cost.
What does data tell you about the customer journey?IBM Analytics
In this omnichannel world, consumers leave clues about their purchasing decisions at every touch point. What data analytics can you leverage to optimize your marketing message and merchandising? Well, it turns out, a lot.
Big Data in Retail - Examples in ActionDavid Pittman
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com
Follow us on Twitter.com/IBMbigdata
Magento als uw e-commerce platform
Maandag 1 december, E-Commerce, Kortrijk Xpo
Ontdek welke mogelijkheden het Magento platform biedt om uw e-commerce strategie mee uit te bouwen. Welke basis features zijn onmisbaar in uw webshop en hoe kan uw basispakket uitgebreid worden met de beste modules? Kom het ontdekken.
Data convergence & personalization in retailPlexure
As retailers move towards this unified commerce strategy, marketers are learning a lot of lessons about the curse of data silos; the practice of keeping data from different sources separated from each other. Silos may or may not be under the control of one department within a company, but the defining feature is that they don’t play nice with each other. If the marketing department can’t easily combine data from in-store point of sale, social media and e-commerce sites, then unified commerce’s promise of a seamless customer experience isn’t going to be fulfilled. One of the reasons platforms like VMob are being used more and more is that they make the convergence of previously siloed data a streamlined process.
Learn how retailers can leverage their own Big Data. Go from data sources to increasing profits, margins and market share at a fraction of the time and cost.
Big Data in Industry
Many believe that Big Data is a new asset which will help companies catapult others to become the best in class.
What is it about Big Data that is so appealing across industries? Simply, data is intertwined into every sector and function in the global economy and much of modern economic activity would not be able to take place without data.
Big Data relates to large meres of data which can be brought together and then analyzed to inform decision making and discern patterns. The insights which Big Data brings, will become the basis of competition and growth for companies worldwide through further enhancing productivity as well as generating significant value for the global economy by increasing the quality of goods and services.
Previous trends in IT investment and innovation such as cloud adoption and the impact of this on competitiveness and productivity can be mirrored by Big Data which serves as a crucial way for large companies to outperform their competition. Across industries, time-honored competitors and new entrants to the market will use data-driven strategies to compete, innovate and seize value. The knowledge that big data brings informs the creation of new services and the design of future products. In fact, some companies are using Big Data to conduct controlled experiments to inform better management decisions.
http://www.extentia.com/service/big-data
www.extentia.com/contact-us
With sales enablement foraying its way into the mainstream, selling has now become more technology oriented with continued focus on incremental revenue impact. Businesses aim to find right combination of skilled people, uniformly standardised processes, break-through innovation via leveraging new-age technologies. These are the basic elements to help conceive a robust sales enablement strategy catering to increasingly personalized but less humanized remote sales environment.
Hacking ecommerce growth using pricing intelligencePromptCloud
With the rise in competition in the retail industry, more and more retailers intend to engage in competitive price intelligence in the next 12 months. It helps businesses to set prices at the exact best point where supply and demand produce the optimum revenue.
steps included in the analytics process
why marketing analysis.
advantages of marketing analytics
the framework of marketing analytics
future of marketing analytics,
how analytics helped amazon small case study.
Follow the Customers: Selling on Amazon, eBay and WebstoreVendio
E-commerce businesses need to be where the customers are. Selling on branded sites like eBay and Amazon are part of the business plan for many
successful e-tailers. Is selling on eBay still a viable option? What are the different ways you can sell your products on Amazon? Learn the answers
to these questions – and much more – during this informative session.
NRF 2019: 5 Secrets to Omnichannel and Retail SuccessApplause
Top brands compete almost solely on the strength of their customer experience. For every brand, that experience means something different.
Discover how leading retail companies like eBay, John Lewis, and Walmart ensure the experiences they provide are flawless across every customer touchpoint, device, and location to grow sales and customer loyalty.
Marketers are now turning towards the web for acquiring relevant data that can help them significantly improve the way they market. Here are some ways how marketers can leverage web data.
Why Artificial Intelligence is a Game Changer for Retail Data Kantify
In this presentation, Kantify presents why and how Artificial Intelligence has become a source of competitive advantage for retailers, where lies the untapped potential, and what are the limits and challenges of these technologies.
Send us a message if you wish to learn more, we are here to help ! www.kantify.com
Monitoring Analytics To Create Customer Value And ExperienceeTailing India
According to research conducted by Gartner,Customer Experience (CX) is the top priority for companies who have invested in analytics software. The goal for any company is to have an ‘always on’ view of how their operational performance that impacts on the way that customersexperience their brand across all touch-points. This is now possible by using untapped machine data in combination with more traditional measures of customer satisfaction such as Net Promoter Score (NPS).
Marketing intelligence at your fingertips. AgilOne Digital Edition gives you access tol key customer trends across your email and web channels – including revenue trends, sources, average order value and much more.
Best Metrics to Optimize B2B Demand GenAsad Haroon
B2B marketers who need to do more than simply create brand awareness through outbound marketing have adopted Account Based Marketing (ABM) in order to focus on key accounts. Successful ABM campaigns can produce highly qualified, valuable prospects.
Cenacle Research is engaged in building Predictive Analytics Engines for Automotive, Healthcare, Retail, Energy and BFSI sector. This presentation details how our Big data Analytics platform can help retail businesses in a brief manner.
Big Data offers: Actionable Insights that let you make Informed Decisions, with the capability to:
+ Gain Insight
+ Take Proactive action
+ Reduce waste
+ Plan better strategy
To know more, write to us at: http://cenacle.co.in/
LIVE MARKETING, an automation engine that hits the target, and helps dealer sell more vehicles. With Behavioral data provided, and compiled to help dealers identify auto shoppers, as well as their intensity and to three vehicle considerations.
Big Data in Industry
Many believe that Big Data is a new asset which will help companies catapult others to become the best in class.
What is it about Big Data that is so appealing across industries? Simply, data is intertwined into every sector and function in the global economy and much of modern economic activity would not be able to take place without data.
Big Data relates to large meres of data which can be brought together and then analyzed to inform decision making and discern patterns. The insights which Big Data brings, will become the basis of competition and growth for companies worldwide through further enhancing productivity as well as generating significant value for the global economy by increasing the quality of goods and services.
Previous trends in IT investment and innovation such as cloud adoption and the impact of this on competitiveness and productivity can be mirrored by Big Data which serves as a crucial way for large companies to outperform their competition. Across industries, time-honored competitors and new entrants to the market will use data-driven strategies to compete, innovate and seize value. The knowledge that big data brings informs the creation of new services and the design of future products. In fact, some companies are using Big Data to conduct controlled experiments to inform better management decisions.
http://www.extentia.com/service/big-data
www.extentia.com/contact-us
With sales enablement foraying its way into the mainstream, selling has now become more technology oriented with continued focus on incremental revenue impact. Businesses aim to find right combination of skilled people, uniformly standardised processes, break-through innovation via leveraging new-age technologies. These are the basic elements to help conceive a robust sales enablement strategy catering to increasingly personalized but less humanized remote sales environment.
Hacking ecommerce growth using pricing intelligencePromptCloud
With the rise in competition in the retail industry, more and more retailers intend to engage in competitive price intelligence in the next 12 months. It helps businesses to set prices at the exact best point where supply and demand produce the optimum revenue.
steps included in the analytics process
why marketing analysis.
advantages of marketing analytics
the framework of marketing analytics
future of marketing analytics,
how analytics helped amazon small case study.
Follow the Customers: Selling on Amazon, eBay and WebstoreVendio
E-commerce businesses need to be where the customers are. Selling on branded sites like eBay and Amazon are part of the business plan for many
successful e-tailers. Is selling on eBay still a viable option? What are the different ways you can sell your products on Amazon? Learn the answers
to these questions – and much more – during this informative session.
NRF 2019: 5 Secrets to Omnichannel and Retail SuccessApplause
Top brands compete almost solely on the strength of their customer experience. For every brand, that experience means something different.
Discover how leading retail companies like eBay, John Lewis, and Walmart ensure the experiences they provide are flawless across every customer touchpoint, device, and location to grow sales and customer loyalty.
Marketers are now turning towards the web for acquiring relevant data that can help them significantly improve the way they market. Here are some ways how marketers can leverage web data.
Why Artificial Intelligence is a Game Changer for Retail Data Kantify
In this presentation, Kantify presents why and how Artificial Intelligence has become a source of competitive advantage for retailers, where lies the untapped potential, and what are the limits and challenges of these technologies.
Send us a message if you wish to learn more, we are here to help ! www.kantify.com
Monitoring Analytics To Create Customer Value And ExperienceeTailing India
According to research conducted by Gartner,Customer Experience (CX) is the top priority for companies who have invested in analytics software. The goal for any company is to have an ‘always on’ view of how their operational performance that impacts on the way that customersexperience their brand across all touch-points. This is now possible by using untapped machine data in combination with more traditional measures of customer satisfaction such as Net Promoter Score (NPS).
Marketing intelligence at your fingertips. AgilOne Digital Edition gives you access tol key customer trends across your email and web channels – including revenue trends, sources, average order value and much more.
Best Metrics to Optimize B2B Demand GenAsad Haroon
B2B marketers who need to do more than simply create brand awareness through outbound marketing have adopted Account Based Marketing (ABM) in order to focus on key accounts. Successful ABM campaigns can produce highly qualified, valuable prospects.
Cenacle Research is engaged in building Predictive Analytics Engines for Automotive, Healthcare, Retail, Energy and BFSI sector. This presentation details how our Big data Analytics platform can help retail businesses in a brief manner.
Big Data offers: Actionable Insights that let you make Informed Decisions, with the capability to:
+ Gain Insight
+ Take Proactive action
+ Reduce waste
+ Plan better strategy
To know more, write to us at: http://cenacle.co.in/
LIVE MARKETING, an automation engine that hits the target, and helps dealer sell more vehicles. With Behavioral data provided, and compiled to help dealers identify auto shoppers, as well as their intensity and to three vehicle considerations.
How to embrace digital transformation in the Financial Services sectorBrandworkz
Digital has the power to transform business. Businesses in every sector are starting to go through a digital transformation. The Financial Services sector particularly is waking up to the potential of digital to integrate and streamline the entire business process. This slideshare offers insights from industry experts and tips for how to achieve digital transformation success if you are in Financial Services.
Digital Banking Personas and the Tailored Experience - Fiserv White Paper (2013)mistervandam
A perspective on how consumer segments look at digital banking, and how the various digital channels (mobile, tablet and online) differ from each other.
The Next Stage of Fraud Protection: IBM Security Trusteer Fraud Protection SuiteIBM Security
View on-demand webinar:
http://event.on24.com/wcc/r/1155218/416359D28E2D43ACB417A8C7C097B3B8
Introducing the Next-Generation Fraud Protection Suite
The financial services industry continues to be plagued by advanced fraud attacks. Sometimes the attacks are successful, resulting in tremendous fraud losses. Virtually always, financial institutions invest significant time and resources to address this continued cyberfraud risk. The fraud protection solutions cobbled together over the past decade suffer from several shortcomings:
Accuracy – statistical risk models generate high false positive alerts, often missing actual fraud
Adaptability – inflexible solutions cannot (or are slow to) react to new threats and new attack methods
Affordability – disparate systems do not leverage pricing incentives and system updates/modifications can be very expensive
Approval – customers are needlessly disrupted by inaccurate risk assessments and the online channel is sub-optimized due to risk concerns
View this on-demand webinar to learn the more about how IBM has taken a fundamentally different approach to fraud protection and management. The IBM Security Trusteer Fraud Protection Suite provides
Evidence-based fraud detection – reduce false positives and missed fraud, leading to better customer experience
Threat-aware authentication – based on actual risk for rapid enforcement
Advanced case management and reporting capabilities – streamline investigations and threat analysis
A powerful remediation tool – quickly remove existing financial malware from infected endpoints
Bank 2.0 - How to get ready for the new era of Engagement BankingBackbase
In this presentation, Jelmer de Jong presents the Backbase vision of Engagement Banking, introducing the concept of Bank 2.0, to help banks prepare for this new era.
How can TCS help Banking & Financial Services industry achieve successful digital transformation through customizable solutions to stay ahead of customer's needs and drive down costs?
Measuring Customer-Centric Mobile Banking & BeyondDynatrace
This webinar with Forrester Research will help you gain valuable insights into the complexity of mobile banking and how mobile can give you a competitive step up. Mobile creates new business opportunities, and customer focused banks will have the edge. To do this you’ll need to have a unified view of the user behavior and delivered user experience across Web, mobile Web and mobile apps.
In this webinar you’ll learn how the right metrics and technology can help you:
• Discover the 5 categories of metrics that are critical for mobile banking and how to align them with business goals.
• Learn about the value of measuring and optimizing customer experiences on mobile banking strategies.
• Get a 5-Step process for assessing the effectiveness of your mobile banking metrics.
• Identify opportunities for improvements, new services, new business targets and models.
How Banks Can Close the 'Value Gap' and Regain Customer TrustJoseph M Bradley
Across the globe, banks have faced a wide array of challenges in recent years. At a time of rapidly changing consumer expectations, upstarts from outside
the traditional banking industry have used technology to disrupt incumbents.
Digital Marketing in Banking: Evolution and RevolutionCognizant
Proving the effectiveness of bank marketing strategies beyond brand-building has always been a challenge. Now, several converging forces may help propel marketing forward as a revenue source rather than a cost center.
SALES.UP is an insight-driven sales and engagement tool for financial institutions that uses customer insights to create relevant, personal and timely interactions with clients. This core and front-end solution agnostic, off-the-shelf sales tool is leveraging pre-built and purpose-built customer insights.
Learn more: www.wup.digital
Cognitive Computing in Banking and Financial MarketsGianpaolo Zampol
Financial institutions are confronted with an internal and external structured and unstructured data flood. Constraints of traditional algorithm-based analytics and peoples’ ability to process information, banks have been generally unable to exploit maximum value from data. Cognitive computing expands the ability of computing exponentially, unleashing an entirely new range of business opportunities, that might help financial institutions address those challenges on obtain relevant and valuable data insights.
Taking friction out of banking white paper - USNils Mork-Ulnes
In our white paper, ‘Taking the friction out of banking’ we research the threat from disruptive FinTech start-ups and look into designing for banking innovation with a focus on improving the digital experience for increasingly digitally-focused consumers.
Software is having an impact on everyone’s lives and we’re fascinated by its effect on user behavior. Building on our existing financial sector expertise, Beyond wanted to fully understand how people’s behavior is changing in one of the world’s oldest industries and what this change means for the future design of products and services in banking.
U.S. Consumer Banks and the Potential of Location-Based OffersCognizant
The increasing use of mobile devices, plus advances in location-aware technologies, are driving the adoption of location-based services across customer-facing industries, including retail. U.S. consumer banks can take advantage of this trend by using the vast amount of customer data they collect to help retailers develop contextually relevant, location-based offers that strengthen and grow customer relationships and position retail banking services as more than mere commodities.
Despite a sluggish economic recovery, Americans continue to shell out ever-growing amounts during high-spending times of the year. Take, for example, the record $4.7 billion consumers spent on movie tickets during the summer of 2013 and their total holiday purchases, which have been climbing steadily since 2010 after a two-year drop. During the run-up to these free-spending periods, companies put in many long hours devising sales strategies to maximize consumer engagement and ROI. Consumers plan ahead, too, relying on friends, family, social media and mobile devices to research products, land the best deals and discover the ultimate customer experience.
During these times, loyalty programs take center stage – not just in the retail sector but also in financial services. And some exciting recent developments have helped financial services loyalty programs turn the image of the faceless, unresponsive bank into one that is driving genuine customer engagement year-round, including:
• The evolving importance of Big Data and its accumulation and analysis beyond traditional loyalty metrics. Financial services, like other verticals, are learning to cater holistically to customers. What can a brand learn about program members outside of how they shop, what they buy and how they interact with their financial institution? How does their lifestyle impact their loyalty experience?
• The growing need for FIs to get moving on mobile while attracting, engaging and retaining Millennials – a generation poised for significant spending power, but whose loyalty remains up for grabs. Banks need to be where their customers are and increasingly that means offering them an on-the-go experience that is seamless, intuitive and fun.
• The fundamental rethinking of how a customer’s predicted long-term economic value – commonly known as customer lifetime value (CLV) – is determined. FIs must embrace CLV as the total amount customers could spend over time if properly engaged, with transactional barriers removed.
These trends – and additional insights – are at the heart of the Kobie Quarterly Review: Financial Services edition. Its goal is simple: to educate readers about the evolving loyalty landscape in specific industries and where it’s heading. Our Quarterly Review also offers suggestions and analyses on how brands can improve their loyalty efforts, discussions on mobile technology and today’s two-way brand-consumer dialogue.
We hope the Kobie Quarterly Review: Financial Services edition broadens your appreciation for what loyalty programs are all about - a way for brands and customers to truly develop genuine relationships – relationships that can grow as robust as the most revered financial institutions.
Tell us what you think and keep the conversation going.
Michael Hemsey, President
Kobie Marketing
MTBiz is for you if you are looking for contemporary information on business, economy and especially on banking industry of Bangladesh. You would also find periodical information on Global Economy and Commodity Markets.
The Ultimate Guide to Customer Loyalty in 2017Margaret Link
For brick-and-mortar businesses, building true customer loyalty is both an art and a science. At Thanx, we're bringing you the stats, tools, and takeaways to help you capture data that grows business through customer loyalty.
Smarter campaign management engaging customers at point of maximum impactHolger Kyas
Abstract: In today’s data driven world, C2B organizations need to be innovative marketing leaders to succeed and create meaningful customer experiences. Companies who excel at this are using advanced analytics and “science fueled creativity” to engage their customers at the point of maximum impact. Hear from advanced analytics experts and leaders from Hilton Grand Vacations, Prolifics and IBM on how they are using intelligence to deliver smarter campaigns to positively affect their bottom line.
Family Finances - Product portfolio 2018Ferenc Muck
Family Finances is a hungarian fintech startup offers easy-to-implement mobile solutions that are all design-driven and research-based. We also offer end-to-end research, design and implementation services.
Understanding customer experiences and their journey is the key to survive business completion in the ever-changing marketing landscape. The presentation attempts to explain the customer intelligence signs of insights from the standpoint of situation analysis, human thinking & nature complexity and the advent of innovative technologies. Brands should design customer experience in a way that customer insights can be used as a competitive advantage over other businesses and at the same time can save millions of dollars.
Similar to Banking in the age of the empowered consumer (20)
An introduction to IBM Data Lake by Mandy Chessell CBE FREng CEng FBCS, Distinguished Engineer & Master Inventor.
Learn more about IBM Data Lake: https://ibm.biz/Bdswi9
10 WealthTech podcasts every wealth advisor should listen toIBM Analytics
Listen to this “Finance in Focus” podcast series to hear a cast of interesting experts discuss how the wealth management industry is adapting to new and emerging technologies that include robo-advisors, blockchain, analytics, and cognitive. Over the course of 10 episodes, hosts Rob Stanich and Alex Baghdjian are joined by wealth management experts to discuss behavior financing, DOL fiduciary rule, social media marketing, account aggregation, millennials, surveillance, and regulations.
Advantages of an integrated governance, risk and compliance environmentIBM Analytics
Risk management is increasingly becoming a strategic, executive-sponsored solution that many organizations view as providing a competitive advantage. When companies have an aggregated view of all the different kinds of risk and compliance data, they can start to generate insights about how to run the business better. In this presentation, learn why and how to empower business leaders to make more risk-aware decisions with visibility across controls and associated issues and actions throughout the organization.
The banking industry will benefit from adopting the latest technology advancements that include artificial intelligence and cognitive computing. These technologies provide the opportunity to mine the massive amounts of transactional data that banks have collected over the past decades to better serve their customers, automate time-consuming mundane tasks and to integrate the act of banking into the lives of consumers.
Learn how: http://ibm.co/bankinganalytics
Sales performance management and C-level goalsIBM Analytics
Before diving into planning for sales compensation, get a fix on the company’s business goals and strategy. See why having a framework in place is critical when designing a sales strategy and compensation program.
Learn more: http://www.ibm.com/analytics/us/en/business/sales-performance-management/
The science of client insight: Increase revenue through improved engagementIBM Analytics
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain a deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized service that adds value and heightens customer loyalty. When they do, they can avoid churn while generating additional revenue models by creating meaningful cross-selling opportunities in a customer-centric world. Explore this ebook to discover a wide array of uses for client insights in banking and wealth management.
Expert opinion on managing data breachesIBM Analytics
For the first time, cybersecurity strategy is an integral part of the platforms for the US presidential candidates. Today, data breaches and cyber attacks are no longer just one offs but seemingly happen daily and impact both the private sector and government. What are we doing to minimize these data breaches and counter cyber attacks? What’s the role of government in fighting cyber crime? Where does the public sector fit in the cyber-crime puzzle? Cybersecurity experts Dan Lohrmann, Scott Schober, Shahid Shah, Eric Vanderburg and Morgan Wright address these questions.
Top industry use cases for streaming analyticsIBM Analytics
Organizations need to get high value from streaming data to gain new clients and capitalize on market opportunities. Discover how IBM Streams is best suited for use cases that has the need for high speed and low latency.
The key to the cognitive business is putting data to work. What is needed is a platform, an ecosystem, and a method.
Learn more about http://ibm.co/dataworks
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
4 common headaches with sales compensation managementIBM Analytics
Gain insights and solutions to four highly common headaches that companies face in their sales performance management processes. Learn more: http://ibm.com/spm
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
In the domain of data science, solving problems and answering questions through data analysis is standard practice. Data scientists experiment continuously by constructing models to predict outcomes or discover underlying patterns, with the goal of gaining new insights. Organizations can then use these insights to strengthen customer relationships, improve service delivery and drive new opportunities. To help guide the processes and activities within a given domain, data scientists and engineers need a foundational methodology that provides a framework for how to proceed with whichever methods or tools they will use to obtain answers and deliver results. In this presentation, we will share data science tips for data engineers.
Join the Data Science Experience: http://ibm.co/data-science
How secure is your enterprise from threats? IBM Analytics
Modern enterprises are vulnerable to a wide range of threats that can put customers, employees and even the organization’s brand at serious risk. Staying ahead of diverse threats as they evolve requires not only continuous monitoring and analysis of disparate data sets but also the fusing of the resulting insights into a single intelligence picture. This allows organizations to gain a comprehensive understanding of the diverse threats and vulnerabilities that can put the entire enterprise at risk.
Noting that defense and national security agencies have employed this ongoing analysis and fusion approach for years, commercial organizations and civilian government agencies have begun adopting similar processes when setting up security operations centers and fusion centers. Whether you have a fusion center or are simply seeking to understand and mitigate your threats, IBM i2 Enterprise Insight Analysis can help you develop a comprehensive approach to enterprise intelligence with which you can neutralize the threats that menace your enterprise.
Collaboration is crucial to today’s workforce. Whether you are in a traditional office setting, work from home or travel extensively, there are tools needed to achieve successful content collaboration.
Whether your mission is to improve external collaboration, increase scalability or focus on security and compliance, find out how content collaboration with Box can improve your ROI.
To find out more on how to improve your content journey, visit IBM ECM and Box: http://ibm.co/ibm-box-partnership
The digital transformation of the French OpenIBM Analytics
For decades, IBM and the Fédération Francaise de Tennis have been tennis partners, using real-time analytics as their winning serve to create a cross-platform fan experience. Learn about IBM’s game-changing site redesign for The French Open and platform innovations to enhance the tournament experience for both attendees and virtual fans.
Bridging to a hybrid cloud data services architectureIBM Analytics
Enterprises are increasingly evolving their data infrastructures into entire cloud-facing environments. Interfacing private and public cloud data assets is a hallmark of initiatives such as logical data warehouses, data lakes and online transactional data hubs. These projects may involve deploying two or more of the following cloud-based data platforms into a hybrid architecture: Apache Hadoop, data warehouses, graph databases, NoSQL databases, multiworkload SQL databases, open source databases, data refineries and predictive analytics.
Data application developers, data scientists and analytics professionals are driving their organizations’ efforts to bridge their data to the cloud. Several questions are of keen interest to those who are driving an organization’s evolution of its data and analytics initiatives into more holistic cloud-facing environments:
• What is a hybrid cloud data services architecture?
• What are the chief applications and benefits of a hybrid cloud data services architecture?
• What are the best practices for bridging a logical data warehouse to the cloud?
• What are the best practices for bridging advanced analytics and data lakes to the cloud?
• What are the best practices for bridging an enterprise database hub to the cloud?
• What are the first steps to take for bridging private data assets to the cloud?
• How can you measure ROI from bridging private data to public cloud data services?
• Which case studies illustrate the value of bridging private data to the cloud?
Sign up now for a free 3-month trial of IBM Analytics for Apache Spark and IBM Cloudant, IBM dashDB or IBM DB2 on Cloud.
http://ibm.co/ibm-cloudant-trial
http://ibm.co/ibm-dashdb-trial
http://ibm.co/ibm-db2-trial
http://ibm.co/ibm-spark-trial
What CEOs want from CDOs and how to deliver on itIBM Analytics
Cortnie Abercrombie, Emerging Roles Leader, IBM gave this presentation on what Chief Executive Officers want from Chief Data Officers and how to deliver on it at CDOvision 2016.
Learn more about the various roles of CDOs: http://ibm.co/cdolookbook
Wimbledon fans love real-time analyticsIBM Analytics
Real-time analytics from IBM helped Wimbledon share moments that matter with tennis fans worldwide. Learn more about what you can do with Media & Entertainment solutions: http://ibm.co/mediainsight.
How IoT and weather data are transforming business decisionsIBM Analytics
IBM and The Weather Company are combining business data, weather data and data from the Internet of Things (IoT) to transform enterprise decision making. Learn more about leveraging weather data in your industry: http://ibm.co/weatherinsight.
How IoT and weather data are transforming business decisions
Banking in the age of the empowered consumer
1. Banking in
the age of the
empowered
consumer
Get ready to provide additional customer-focused banking experiences.
2. Is banking ready to meet
modern expectations?
Mobile, digital and social media are now a way of life.
3. Too often, the answer is no.
Banks are falling behind.
Fewer than half of customers report having a positive banking experience.1
1 Capgemini and Efma, World Banking Report 2015, April 22, 2015.
4. Banks offer mobile banking,
but they can do more.
You already possess what you need to offer a great banking experience.
Unlock the vault of customer data: comprehensive, dynamic, unique.
7. Don’t just serve—engage.
Tailor your customers’ experience to their identity to offer
heightened levels of banking engagement.
8. Back up intuition with hard data.
Relying on basic segmentation to make offers to customers leaves
out the 360° customer view that analytics can provide.
10. Millennials change the game.
They’re pushing us to provide a unique experience—for everyone.
11. Seizing opportunities
as they arise
Christine wants to grow revenues from new products and heighten
customer satisfaction in her retail banking business unit.
12. Drilling deep into market segments
Behavior-based predictive models tell Christine that the likelihood
of overdrafts is high in the segment she is examining.
13. Identifying customers by their
behavioral characteristics
Christine selects Michael, a customer whose cash flow
pattern raises concerns about his likelihood of an overdraft.
14. Making the right offer
Christine links to her bank’s
engagement applications to
make an appropriate overdraft
product offer to Michael.
15. Cultivating the relationship
Christine adds value to the relationship by
suggesting tools such as cash flow analysis
and predictive alerts that can help Michael
manage his finances.
16. Earning permission to become
part of the customer’s life
Michael signs into the banking app on his tablet and
sees new content pushed to his home screen.
20. Customer Insight for Banking
Accelerate your journey by optimizing your
customer interactions.
21. Enhance your customer insight for
the age of the empowered consumer.
• Boost revenue
• Gain wallet share
• Avoid attrition
22. Take advantage of your data by gaining
insight into your customers’ behavior.
IBM Analytics: Customer Insight for BankingPlease visit
23. Trademarks and notes
IBM Corporation 2015
• IBM, the IBM logo, ibm.com, and the planet icon are trademarks or registered trademarks of International
Business Machines Corporation in the United States, other countries, or both. If these and other IBM
trademarked terms are marked on their first occurrence in this information with the appropriate symbol
(® or ™), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this
information was published. Such trademarks may also be registered or common law trademarks in other
countries. A current list of IBM trademarks is available on the Web at www.ibm.com/legal/copytrade.shtml.
• Other company, product, and service names may be trademarks or service marks of others.
• References in this publication to IBM products or services do not imply that IBM intends to make them
available in all countries in which IBM operates.
BXP03020-USEN-00