With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains:
What data virtualization is and its benefits
When and when not to use data virtualization
How to deploy data virtualization to benefit your business
How to unlock the value of your SAP data
Are you considering data virtualization for your organization today? In this paper you will learn 10 core truths about data virtualization and gain essential knowledge for overcoming analytic data bottlenecks and driving better outcomes.
Over the past decade, businesses have made tremendous investments in information
capture, storage, and analysis. But having a wealth of data isn’t the same as having
valuable information. TIBCO®
Data Virtualization products and services provide a way
to turn your data stores into valuable information that improves decision-making and
propels experimentation and innovation. This paper explains:
•?What data virtualization is and its benefits
•?When and when not to use data virtualization
•?How to deploy data virtualization to benefit your business
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
Published By: Aberdeen
Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
The term outsourcing can have a negative connotation,
conjuring images of layoffs and relocating jobs to third parties
in remote locations. However, outsourcing can take many
forms, and finance and accounting outsourcing (FAO) does
not always mean the displacing of the finance back office.
Specifically, FAO leverages digital technology to complement
and support the back office, streamlining processes while
providing enhanced transaction processing, reporting and
analytics capabilities. It also allows key resources to focus on
strategy, analysis and decision-making.
In this case study, large health systems implement IBM Watson Health to surface improvement opportunities. Using this tool, they were able to cut costs, reduce patients’ length of stay, acquire actionable data, address number of readmissions and improve management of COPD and sepsis.
Australian businesses have long been recognised as leaders in the adoption of cloud services and the migration of core infrastructure to cloud platforms.
Yet as ambitious ‘cloud-first’ programs are executed, performance and complexity issues have led many organisations to embrace the middle ground – a hybrid IT solution combining public cloud and on-premises infrastructure.
Fast-growing hyperconverged infrastructure (HCI) platforms are increasingly being recognised as an ideal enabler for this strategy, with a software-based design that combines robust computing infrastructure with a high degree of centralisation, integration, flexibility, and analytics-based monitoring and manageability.
Read how companies such as Beam Suntory have redefined enterprise architecture and learn more about the way an integrated hyperconverged infrastructure can help you build the right infrastructure for the future.
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population.
Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as theydo not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
The finance team’s data analytics skills put CFOs in the driving
seat of digital change. Read the Economist Intelligence Unit report now to learn:
• How finance helps other business units meet their digital ambitions
• Why finance needs to make data visible across the business
• Why it’s important to develop metrics for digital success
After talking to 27 leading CFOs, the Economist Intelligence Unit finds that the finance team’s data analytics skills put the CFO in the driving seat of digital change.
The result is that the CFO has a new responsibility to:
• Help other business units meet their digital ambitions
• Make relevant data visible across the business
• Develop goals and metrics for digital success
Watch the webinar
Behind the scenes of the world’s leading industrial and manufacturing companies, a profound digital transformation is now underway .1
As with any profound transformation, the opportunities for competitive advantage and growth are enormous, but so are the challenges . How do you determine what your next digital transformation steps should be? How do you position your manufacturing business to take the next step—and the one after that?
This eBook will help you answer these questions . In it we will:
XX Introduce the role of visibility in digital transformation
XX Consider three key trends that are shaping the future of manufacturing by delivering the visibility that enables transformation:
– Growth of the Internet of Things (IoT)
– The advance of analytics
– The migration of applications to the cloud
XX Identify the traits you need in your core systems to take advantage of these trends—giving you the visibility to identify and take the steps that will help transform your business into
Making sense of your data is one of the greatest challenges facing business today. Imagine a world where innovation and time-to-value are accelerated by AI and automation. Hitachi Vantara works at every point along the data value chain from analytics and insight, through intelligent governance to efficient, agile storage. Download this e-book to find out how to turn the business-enabling capital of the digital era into sustainable value.
Published By: StreamSets
Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
Download this report for an in-depth analysis of trends in customer experience management strategies for financial services companies. The study was developed using independent research and survey responses from 100 senior-level leaders across marketing, customer experience management, analytics, digital strategy, and innovation roles.
After identifying key market stressors, the report analyzes the five key drivers of successful customer engagement: Customer Understanding, Prioritization, Design, Measurement, and Culture.
Artemis Health teamed up with Employee Benefit News to research the current “benefits landscape.” We surveyed self-insured employers to find useful trends, interesting stats, and info on what leaders like you are doing to improve their benefits strategy. In this whitepaper, you'll discover:
• Regional differences in benefits offerings and priorities
• What benefit leaders believe they can accomplish with benefits data analytics
• The features and functionality your peers are looking for when they evaluate a data solution
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data.
• Which data sources will help you ensure you’re measuring the right thing at the right time
• How to ensure data variety and choose key metrics
• An example of a successful predictive analysis using benefits data
Published By: Infosys
Published Date: Dec 03, 2018
Data is a truly inexhaustible resource for an organization. It creates endless possibilities to make data do more. As a technology partner of hundreds of organizations around the world, Infosys helps clients navigate the journey from their current state to the next.
Facilitating clients’ transition into data-native enterprises is a crucial part. To understand how companies are using data analytics today and their expectations in a world of endless possibilities with data, we recently commissioned an independent survey of 1,062 senior executives from organizations with annual revenues exceeding US$ 1 billion, in the United States, Europe, Australia, and New Zealand. The respondents were from business and technology roles, who were decision makers, program managers and external consultants; represented 12 industries, grouped into seven industry clusters, such as, consumer goods, retail and logistics, energy and utilities, financial services and insurance, healthcare and life sciences, h
Published By: FICO EMEA
Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach.
For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
Published By: Marketo
Published Date: Feb 11, 2019
Beyond the time-saving and efficiency benefits, marketing automation enables business processes that are essential to any modern marketing department. For B2B companies, this includes lead nurturing, lead scoring, and lead lifecycle management. For B2C companies, it includes cross-sell, up-sell, and customer loyalty. And for all companies, it includes marketing ROI analytics.
Nurture relationships with leads that aren't ready to buy. On average, only 20% of leads are sales-ready when they first come in. This means you need a disciplined process – known as lead nurturing – to develop qualified leads until they are sales-ready. Done well, nurturing can result in 50% more sales leads at 33% lower cost per lead.
Retain and extend customer relationships. The marketer's job is far from finished once someone becomes a customer. For most industries, the real value comes from retaining and deepening the customer relationship over time. This includes selling more of the same product to the cus
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.