Big Data and Analytics Trends 2015 #infographic. Retail: Improving the use and value of analytics at IBM Insight 2015. The Content Navigator Experience: Building Web, Social, and Mobile Content Solutions. Today’s guest post is courtesy: Ian Story — Senior Strategy Manager, ECM, IBM.
Social Content Management. Today’s Guest Post by: Christopher Kissel, Analyst, Frost & Sullivan Historically, the concept of data had a simple connotation as something that had to be searched for and retrieved behind a network firewall in an IT-managed repository.
The data itself was a dead document and without management, it could be lost, misplaced, inadvertently deleted, or breached. Cognitive capture. Providing More Insight, Not Just More Content By Kevin Craine It’s no secret that information drives today’s organizations.
But leveraging that information in ways that make a difference can be a challenge. Use Cognitive Analytics in your Finance Department to Unlock Revenue, Reduce Costs and Mitigate Risk—Right Now – IBM Watson Analytics Community. Use Cognitive Analytics in your Finance Department to Unlock Revenue, Reduce Costs and Mitigate Risk—Right Now As a finance manager, your role is to constantly monitor and learn from your organization’s financial performance.
This means you have to exercise constant vigilance when solving problems related to payment delays, transaction slowdowns and an uncertain market. To ensure another year of steady gains and reduced risks, you need to uncover insights buried in your data in less time and with fewer resources, and use them to build better decisions based on what you know. With Watson Analytics, your flat spreadsheet files become readily useful. Smarter digital financial planning: How new analytics tools can help advisors.
Many Gen Xers and millennials grew up online and are accustomed to buying plane tickets or shoes with the click of a mouse.
Financial advisors and wealth management firms must raise their game to meet clients' demands using actionable data analytics. Fortunately, emerging technologies can help firms engage in more sophisticated digital financial planning. Dig up new insights into your clients The best financial advisors are intimately familiar with their individual clients' long-term goals. But new digital financial planning tools can help better sort through and organize that knowledge base, allowing for more efficient marketing to your existing clients. Risk tolerance is far from the only characteristic that can be tracked using advanced analytics.
Budgeting falls short in popularity poll. Of all the management duties that businesspeople perform on a regular basis, budgeting might be the least popular.
In fact, not only is budgeting unpopular, it has actually been condemned and vilified as a business practice. In his book Winning, former General Electric CEO Jack Welch famously said, “The budget is the bane of corporate America. It never should have existed.” He added, “…the budgeting process at most companies has to be the most ineffective practice in management…And yet…companies sink countless hours into writing budgets. What a waste!” Retail analytics: Driving customer engagement with proximity marketing. Foresight 2020: The future is filled with 50 billion connected devices. By 2020, there will be over 50 billion connected devices generating continuous data.
This figure is staggering, but is it really a surprise? The world has come a long way from 1992, when the number of computers was roughly equivalent to the population of San Jose. Today, in 2015, there are more connected devices out there than there are human beings. Ubiquitous connectivity is very nearly a reality. How to talk to network executives and advertisers when television show ratings decline. Harsh words do not always bring insights, and complaints do not always indicate problems.
But when a new television show’s ratings decline, panic can set in nonetheless. Indeed, ratings decline perhaps more frequently than we think. For example, more than 70 percent of television shows that premiered on major networks in 2014 were cancelled before their second season. Such a failure rate is a significant drain on resources with little long-term return to show for it.
Can retail analytics help CMOs create brand loyalty? Netflix, Amazon, Apple and Facebook topped the Brand Keys 2015 Loyalty Leaders List, which ranks consumers' loyalty to brands.
While these brands have massive market share and revenue, they also earn consumers' favor with their customer service and retail analytics efforts. How to cut through the web of insurance fraud. As many insurers know, the web of insurance fraud grows rapidly.
Opportunistic and organized fraud can quickly be spun into inflated claims damage, exaggerated injuries, staged accidents and overpriced auto body repairs that can sneak up to take a bite out of balance sheets. Insurance companies can become entangled by investigation inefficiencies, high loss adjustment expenses and incorrect payments, and that’s not even accounting for the inconvenience to policyholders who simply want their legitimate claims resolved. Becoming caught in this web is costly. For example, in the United States alone, the estimated cost of property and casualty fraud each year is a hair-raising $32 billion, according to the Insurance Information Institute.
Worse, 51 percent of insurers surveyed by the Coalition Against Insurance Fraud believe that suspicious activity is on the uptick. Optimizing strategic financial planning through big data and analytics. The financial services industry has reached maturity, according to the definition of industry life cycle set by Inc. Are you ready for Solvency II? For insurance companies across Europe, 1 January 2016 is the deadline for the first round of mandatory reporting under Solvency II. Insurers will need to file regular reports with their national regulators that present a 360-degree view of a firm’s risk exposure.
However, this looming deadline—as experience in related sectors such as banking suggests—is only the beginning of what is likely to be ever-expanding demands from regulators for greater amounts of information, more often. Solvency II regulatory compliance has become even more challenging for insurance firms during 2015, as regulators issued significant and all-encompassing changes to their requirements for “Full Measures” filings due in 2016. Some software vendors that supply solutions to insurers in this market have been struggling to manage these new requirements—with some even withdrawing support altogether. Overcoming Solvency II reporting challenges: Technological hurdles and best practices.
Top 12 predictions for 2016 from leading cybersecurity experts. What will 2016 hold for cybersecurity? For starters, we can expect continued developments as both the public and private sectors implement intelligence-led approaches to threats. More specifically, check out these 12 predictions from experts in the field to help you keep abreast of developments in 2016. How retail data drives sales online and in stores. In the hypercompetitive world of retail, which is often a blur of multichannel strategies, seasonal promotions and personalized advertising, there's one important key to differentiating yourself from the competition: retail data. Of course, having data is table stakes. Every retailer has tons of it, and the numbers tell the story of clicks, conversions, add-to-cart, dwell time, average order value, foot traffic, bounce rate, exits and time to purchase.
Successful retailers not only have data, but know the right questions to ask to produce actionable insights that can be used in real time. Simply knowing which products sold and which didn't is not enough. Understanding big data for the enterprise. Four ways big data and analytics transform marketing. How big data and analytics are making retailers more customer-centric. For ages retailers across the globe have been focused on their customer base, aiming to satisfy them with their products and services. Why, then, is there suddenly so much buzz around customer centricity? What has changed? Customer-centricity in action I’ll share a personal example: I recently went to buy an electric shaver.
I did all my research online: pricing products from different retailers and comparing product and price to a few online businesses selling the same brands as well. After all of the research, questions and comparison, I ended up purchasing from the online store because of the ease of use, and also the savings: based on my purchase history (and the knowledge that I searched for the electric shaver on their site), they sent me an additional 10 percent off discount coupon with free shipping. Retailers today have to face a new breed of empowered customers who are always connected and have more information on products than sometimes even the retailers do. IBM Insight 2014. The Internet of Things and the evolving role of big data analytics in the insight economy. The Internet of Things (IoT) is on track to become the most diverse, widespread and pervasive global network of all.
5 energy and utilities challenges the industry is preparing for. Several energy and utilities challenges are set to impact the industry, with a number of macro changes altering the way companies are doing business and making technological investments. The Internet of Things drives new opportunities for the automotive industry. The Internet of Things (IoT) and the connected car are altering the landscape of the auto industry. Automotive engineering, manufacturing and customers are all changing rapidly. Healthcare trends: Big data analytics and digital health drive the industry's future. By far the biggest event in healthcare over the past 10 years was the rollout of the Affordable Care Act (ACA) in 2010. How big data will change your industry.
Fraud Management for Banking - IBM Analytics. Demo: IBM Big Data and Analytics at work in Banking. Big Data & Analytics Architecture. Top 10 must-read articles for big data experts from IBM Big Data Hub. 601 billion reasons why weather data can transform the insurance industry. Consumer Products: Improving the use and value of analytics at IBM Insight 2015. 5 common mistakes with sales incentive systems: Not aligning to your sales team's way of working.