business service analytics

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Published By: IBM     Published Date: Jan 02, 2014
This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
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ibm, analytics, global business service, big data, business value, it professionals, volume, velocity, variety, customer analytics, trends and insights, information management, data security, integration, variety of data, analytic accelerator, infrastructure
    
IBM
Published By: Phunware     Published Date: Aug 11, 2014
Mobile devices are streaming millions of location data points in real-time. These data points are extremely valuable in their own right because the very apps that help generate data can also be used to act on insights and deliver relevant messages. Download these insights and examples to turn mobile data into actions.
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phunware, mobile, physical marketing analytics, location analytics, business intelligence, space management, customer service, crm, loyalty, analytics for mobile, analytics on mobile, app analytics, app tracking analytics, mobile analytics tool, mobile app analytics, mobile app usage analytics, mobile data analytics, mobile device analytics, mobile location analytics, emerging marketing
    
Phunware
Published By: IBM     Published Date: Mar 18, 2015
More and more companies are moving to the cloud for B2B services, and for good reason. There’s a huge potential for increased visibility and analytics-driven insights to be gained from B2B transactions that can give businesses unprecedented levels of information. But many organizations continue to struggle when it comes to going beyond basic transactional data and historical performance metrics. What does it take to not only report on past activity, but to get real-time alerts, predict future events, manage exceptions, and proactively leverage this wealth of data in order to put it to work? Read this IBM white paper to find out how B2B Services Reporting and Analytics provide new insights into your trading partner relationships and to drive better, more profitable business decisions.
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b2b services, ibm, b2b analytics, b2b reporting, transactional data, trading partner relationships
    
IBM
Published By: SAS     Published Date: May 12, 2016
This paper examines the barriers to adoption from an IT and end-user perspective, and shows how self-service analytics in general – and SAS Visual Analytics in particular – can eliminate these barriers. Self-service analytics empowers users to truly exploit the wealth of data available to them, while ensuring that the IT organization maintains governance and control over that data.
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sas, business analytics, it organization
    
SAS
Published By: Riverbed     Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your existing monitoring and management strategy.
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big data analysis, it analytics, manage, complex, automation, monitoring, management strategy
    
Riverbed
Published By: Gleanster Research     Published Date: Oct 11, 2012
Authored by two luminary Business Intelligence (BI) industry analysts. This 9 page report exposes best practices on Self-Service BI. The findings come from a Q3'12 survey on BI, which captured the experiences of 327 organizations.
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business intelligence, cio, self-service, business analytics, data warehouse, data, analysis
    
Gleanster Research
Published By: IBM     Published Date: Feb 10, 2014
Customer Intimacy has become an essential driver for company success.In this white paper, you’ll learn how customer intimacy can be implemented at your organization in five practical steps.
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ibm, business analytics, customer analytics, crm, customer service, customer intimacy, cem, enterprise feedback management, data warehousing, insights, predictive analytics, performance management, crm & customer care
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
Working with BrightStar Partners, an Avnet Services company, and IBM, the PDZA team has developed a new analytics solution that combines real-time weather data with ticket sales and attendance information to help forecast visitor numbers much more accurately than ever before.
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ibm, brightstar, business analytics, software, ibm cognos business intelligence, data management, data warehousing, operational efficiency, customer service, insights, data delivery, marketing, customer analytics, mobile solutions, email, social media, customer experience/engagement
    
IBM
Published By: IBM     Published Date: Jan 26, 2015
IBM Bluemix, a robust platform as a service (PaaS) to host and deploy your app, also provides a wide range of enterprise grade tools that can be used in your applications to run your business needs. The Analytics Warehouse Service available in IBM Bluemix provides a powerful, easy-to-use, and agile platform for business intelligence (BI) and analytics tasks. Check out this upcoming webcast to learn how you can create a ready-to-use BI and analytics service on Bluemix, in just a few clicks, and even access those results on an Android app.
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analytics service, open cloud platform, ibm, web developers, mobile developers, business integration
    
IBM
Published By: Hitachi Vantara     Published Date: Aug 14, 2018
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: IBM     Published Date: Apr 15, 2016
This white paper takes a look at the current challenges that many organizations face in addressing this growing need. It examines the different types of users and stakeholders who need or want more self-service, and lays out four factors that are critical to realizing the full potential of self-service analytics.
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ibm, business analytics, self-service analytics, business intelligence
    
IBM
Published By: AWS     Published Date: Sep 04, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
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AWS
Published By: Google     Published Date: Dec 03, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: IBM     Published Date: Jul 09, 2018
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
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IBM
Published By: Hitachi Vantara     Published Date: Aug 02, 2018
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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digital transformation, data infrastructure, data optimisation
    
Hitachi Vantara
Published By: Hitachi Vantara     Published Date: Aug 13, 2018
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
Tags : 
    
Hitachi Vantara
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
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.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
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 they do 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.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
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