The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential.
Download this white paper to learn:
*How organizations can answer critical questions that have been impeding business success
*How the financial services industry can make great strides in security, compliance and IT
*Common machine data sources in financial services firms
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers.
For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy.
Download this report to learn:
How to reduce monitoring blind spots when creating an ITOM strategy
How to address ITOM requirements across IT and non-IT groups
Distinct layers across ITOM Potential functionality gaps with domain-specific products
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences.
Download the e-book to learn how:
Micron Technology reduced number of IT incidents by more than 50%
Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events
TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
Published By: Spredfast
Published Date: Nov 15, 2018
Can chatbots provide a great customer experience? Watch how top brands automate social customer service practices. You'll learn how to enhance agent workflows and use AI to better connect with the people you care about most.
Published By: Teradata
Published Date: Jan 16, 2015
NedTrain, a maintenance and cleaning service provider for locomotives, turns to Teradata Analytics for SAP® to unlock the valuable insight hidden in their newly implemented SAP® R/3 system.
Impact and encourage positive end results...Download now!
Published By: Teradata
Published Date: May 02, 2017
As companies consider incorporating enterprise-level cloud services offered by Amazon Web Services, Microsoft Azure, Teradata, and others, many challenges arise related to data security, integration into existing data architecture, and analytics activities themselves.
Download this article to understand these and other considerations for evaluating and adopting a cloud strategy for your enterprise, and what it means for analytics.
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements.
To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
Data is the lifeblood of business. And in the era of digital business,
the organizations that utilize data most effectively are also the most
successful. Whether structured, unstructured or semi-structured,
rapidly increasing data quantities must be brought into organizations,
stored and put to work to enable business strategies. Data integration
tools play a critical role in extracting data from a variety of sources and
making it available for enterprise applications, business intelligence
(BI), machine learning (ML) and other purposes. Many organization
seek to enhance the value of data for line-of-business managers by
enabling self-service access. This is increasingly important as large
volumes of unstructured data from Internet-of-Things (IOT) devices
are presenting organizations with opportunities for game-changing
insights from big data analytics. A new survey of 369 IT professionals,
from managers to directors and VPs of IT, by BizTechInsights on
behalf of IBM reveals the challe
The data center is coming under immense pressure. The boom in connected devices means increasing volumes of data – and all that needs processing. One way for CSPs to accelerate customer workloads is by using FPGAs, which are easier to use than ever before.
Download Intel's latest eGuide, ‘FPGA-as-a-Service: A Guide for CSPs' to discover:
• How to add FPGAs to the data center
• The structure of the Intel® Acceleration Stack for FPGAs
• Adding off-the-shelf accelerator functions
• How FPGAs can accelerate many cloud services, such as database as a service and analytics as a service
These are the end times for traditional enterprise resource planning (ERP) solutions. Overstatement? Not really—especially for growing businesses like yours. Old-school ERP systems are simply too slow, complex, and inflexible to keep up with today’s business climate.
Think about your existing ERP. Does it support industry-specific best practices, ever-changing regulatory requirements, and emerging technologies such as social media, mobile, cloud, and analytics? If not, you could risk losing ground to your competitors as a result.
Did you ever wonder what enterprise resource planning or ERP is and how it can help your business? Or perhaps you know a little about ERP but you’re not sure if you should opt for an on-premise or cloud solution and what to expect from your final choice.
If you’re a business owner, manager or director in a mid-sized or growing business and you’re confused about ERP, this guide will help you.
Forrester Consulting provides independent and objective research-based consulting to help leaders succeed in their organizations. Ranging in scope from a short strategy session to custom projects, Forrester’s Consulting services connect you directly with research analysts who apply expert insight to your specific business challenges. For more information, visit forrester.com/consulting.
RSA White Paper: As organizations rebalance their security defenses to combat today's sophisticated threats, they're recognizing that centralized incident response capabilities are key. This white paper discusses how organizations can assess and improve their incident response maturity. It also introduces RSA products and services, including RSA Security Analytics, that can help accelerate the maturity journey.
Published By: Teradata
Published Date: Jun 12, 2013
In March of 2011, CFO Research Services conducted a survey among more than 200 senior finance executives primarily in the United States to explore how well companies' information systems are supporting finance executives' ongoing efforts to transform the finance function into a value-added partner to the business. Especially in the aftermath of a worldwide recession, do CFOs and their staffs have the information they need to deliver real business value throughout the organization? How well equipped are they to provide the kinds of critical and useful business analytics that can drive the company forward?
Download this paper to learn the findings of our research.
Published By: Teradata
Published Date: Jun 14, 2013
This paper explains how customer relationships can be threatened by lack of insight into their behaviors and preferences and how financial services organizations can use data analytics and customer-centric marketing to improve these relationships and drive business.
Today, businesses pour Big Data into data lakes to help them answer the big questions:
Which product to take to market?
How to reduce fraud?
How to retain more customers?
People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast.
The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
Business users want the power of analytics—but analytics can only be as good as the data. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, the biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation.
Published By: MuleSoft
Published Date: Apr 13, 2016
Today’s successful organization needs to be able to turn on a dime, changing its product or service direction as fast as its customers’ needs require. The successful business of the 21st century crosses all boundaries; can quickly meet and adapt to competition, whether it comes from another part of the world, another industry or a startup; or it can use its core competencies to extend itself in new ways. Welcome to the Composable Enterprise. This kind of company—powered by cloud, open APIs, data analytics, mobile and social, and connected to the Internet of Things—is redefining markets and raising consumer expectations. The composable enterprise casts away the hierarchical and hardwired systems and processes that defined its predecessors, and represents a radical rethinking of how
technology can serve innovation and how innovation can serve customers.
Published By: ServiceNow
Published Date: Apr 12, 2017
Read The Total Economic Impact™ of ServiceNow, an April 2017 commissioned study conducted by Forrester Consulting on behalf of ServiceNow, to understand the benefits, costs, and risks associated with the following ServiceNow solutions: IT Service Management, IT Operations Management, and Performance Analytics.
The study, commissioned by ServiceNow, covers key findings in these three categories:
Modernizing IT Service Management
Eliminating Service Outages
Optimizing Performance with Real?time Analytics
Forrester interviewed seven current ServiceNow customers with years of experience using the solutions identified above. The purpose of the study is to provide potential customers with a framework to evaluate the real world customer experience and economic impact of the Now platform on their organizations.
Restoring connections: How telecommunications providers can reboot the customer experience
IBM has more than 22,000 experts working in the Telecommunications industry, delivering solutions to more than 200 major communications service providers globally. IBM’s telecommunications capabilities are backed by a global network of telecom solution labs, research labs and innovation centers to support its offerings in the area of analytics, cloud, mobility, network optimization, digital transformation and global integration. IBM continues to invest significantly in key acquisitions to add expertise and capabilities that enable its clients in the telecommunications space.
Are you aware of the ongoing dialog about your products and services? Are you participating? Recent surveys show that organizations that deliver good customer experiences are reaping greater revenues than those that don’t. Yet companies are struggling to pivot towards the customer, because it often requires a complete overhaul of management, culture and technologies. This session will show how to defeat content chaos, streamline and accelerate onboarding and service processes, minimize friction with customers, use analytics to anticipate and prepare for customer needs, and give your front-line people the tools they need to offer a superior experience that will grow your revenues and generate great word of mouth.
Published By: Genesys
Published Date: Feb 27, 2018
With all the options in the rapidly changing marketplace for cloud-based contact centers, it’s a challenge to find the right solution for your business.
Easily compare the leading contact center solution vendors in the Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18, based on their ability to offer full voice call routing and multichannel customer service in the cloud.
Learn why Genesys has been positioned as a leader who has solutions for businesses of all sizes and in all industries around the world.
Read the Ovum Decision Matrix to:
• Compare cloud contact center solutions based on the strength of their technology platforms
• Contrast vendors on their ability to handle multichannel customer interactions and connect with customer and company data through analytics
• Understand each vendor’s market impact and why Genesys was chosen as a leader
Government agencies are taking advantage of new capabilities like mobile and cloud to deliver better services to its citizens. Many agencies are going paperless, streamlining how they interact with citizens and providing services more efficiently and faster. This short video will show real examples of how government agencies are applying new capabilities like cognitive and analytics to improve how they ingest, manage, store and interact with content.
Published By: Datastax
Published Date: Jun 20, 2019
A Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider. This report assesses the shift to multicloud architecture, challenges being faced by data and analytics leaders, and the growing need for database management technology that enables integration of data across multiple clouds.