IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations.
Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter.
Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to:
Enable a business aware IT organization
Unlock operational efficiencies
Solve problems with predictive analytics
he digital transformation era has left organizations uncertain about how to best use all their newly generated data to foster growth and edge out the competition. This has led to the development of a new set of smart technologies to enhance an organizations’ ability to parse through extensive troves of data to find new insights.
Download your complimentary copy of “AI and Machine Learning in Your Organization” to avoid missing out on valuable business insights.
You’ll learn about:
*The critical role AI and machine learning play in finding answers
*How data is the fuel for your machine learning and AI-powered initiatives
*The ways in which AI and machine learning are being applied today to bolster IT operations and security
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs.
Download “The Essential Guide to Infrastructure Machine Data” for:
The benefits of machine data for network, remote, web, cloud and server monitoring
IT infrastructure monitoring data sources to include in your machine data platform
Machine data best practices
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution.
Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments.
Download your complimentary copy to:
*Gain insight into the developing industry of AIOps and its future
*Learn how to optimize IT operations powered by machine learning to drive business value
*Compare different AIOps platform vendors and their range of capabilities
Published By: Trifacta
Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data.
Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018.
In this recorded webinar you will learn:
• Where does data preparation fit within DataOps
• What are the key technical & business differentiators of data preparation solutions
• How to align the righ
Published By: Attunity
Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation.
Read Increase Data Lake ROI with Streaming Data Pipelines to learn about:
• Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud.
• Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake.
• Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store.
• Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights.
Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
Published By: Attunity
Published Date: Feb 12, 2019
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries. It assesses the major trends and tips to gain access to and optimize data streaming for more valuable insights.
Read this report to learn from real-world successes in modern data integration, and better understand how to maximize the use of streaming data. You will also learn about the value of populating a cloud data lake with streaming operational data, leveraging database replication, automation and other key modern data integration techniques.
Download this whitepaper today for about the latest approaches on modern data integration and streaming data technologies.
Published By: Rackspace
Published Date: Feb 12, 2019
In today’s digital world, technologies such as cloud have become commonplace to take digital transformation projects to the next level. But while cloud is critical to business transformation success, Australian IT decision-makers (ITDMs) still feel that the C-suite does not understand the time and complexity of the journey.
This paper explores:
• Insights on challenges faced by Australian ITDMs when rolling out cloud projects
• The role of the ITDM today
• Key blockages IT stakeholders encounter when driving digital change, and;
• What they need from the business and wider technology ecosystem to navigate the risks associated with starting a cloud project or moving to a full cloud-first model.
Digital technology is creating change at a pace never seen before. Customers now expect speed, ease, choice and a personalised service. It makes customer experience key to success. And it sets merchants a challenge. To survive, and thrive, businesses need to stay agile in everything they do –including how they manage fraud. As the people who set the strategy that determines if an order is
accepted or not, fraud teams have a pivotal role to play in improving customer experience and reducing risk. This makes fraud management more than a back-office utility. It’s a way to differentiate your business and achieve a competitive advantage.
This is the question we put to three specialists from CyberSource – as well as Chris Monk from digital literacy agency Decoded. This report reflects their expert opinion, and explores:
• The changing landscape for businesses.
• The key challenges for fraud teams.
• How to develop an agile fraud solution
Published By: IBM APAC
Published Date: Mar 06, 2019
The 2019 IBM X-Force Threat Intelligence Index looks back at the threats, tactics, and trends that emerged in 2018 based on insights from IBM X-Force Security Research Team.
Deriving data and insights from security clients, incident response services and penetration testing engagements, the IBM X-Force Threat Intelligence Index 2019 report outlines the most prominent threats and provides key insights into various industries, attack tactics, and major vulnerabilities that emerged during the year.
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. U.S. marketers are poised to double their spend on location-targeted mobile ads between 2017 and 2021 to $32 billion, according to research firm BIA/Kelsey. Understanding location is key to gaining insights and making change.
HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them. This gives them well-timed and relevant advertising.
Adsquare offers brands insights into customer behaviours and footfall to underpin digital marketing campaigns. Using a detailed brief of the audience the brand wishes to reach,
Adsquare gathers data from a range of mobile, online and offline sources. This rich data gives a brand a stronger opportunity to create relevant campaigns for their audiences.
It is critical to adsquare’s success that its data sources are reliable. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE is building and sharing real-time location intelligence with adsquare which reveals patterns to show how and why customers make transactions in specific places. and why customers make transactions in specific places.
How can brands make the most of the growing opportunities offered by location data? Understanding location and its connection to customer behaviour is key to gaining full and reliable insights and making efficient change.
HERE is building and sharing real-time location intelligence which reveals why customers make transactions in specific places. HERE’s Open Location Platform contextualises consumer motivations in the world around them. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE also shares its own insights into the future of reaching customers on their mobile devices as they travel, including in-car advertising.
How do you keep people safe in a ‘once in a 1,000 years’ weather event? Hurricane Harvey was a category four hurricane which struck the coast of Texas, eastern Texas and southwestern Louisiana in August 2017.
HERE was able to track the storm and accurately report more than 2,100 road closures and blockages in real-time helping people stay out of harm’s way.
HERE is the world’s leading provider of traffic incident information to the automotive industry. This eBook shows how HERE’s deploys its people and artificial intelligence to gather the data, check it for accuracy and produce insights which keeps drivers safe.
The United Nations predicts that by 2050 an additional 2.5 billion people will live in towns and cities, with 90% of this increase happening in African and Asia. With congestion already a challenge on many city roads how will we keep our megacities moving and quality of life high for their populations?
As one of the world’s leading location platform in 2018, HERE shares location data, insights, tools and services to keep people and traffic flowing through cities and countries around the world. This eBook explains how accurate traffic data can help megacities of today and the future.
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled
by advances in computational capacity, the explosion in data, and the advent of
deep neural networks. But data is evolving quickly and legacy storage systems
are not keeping up. Advanced AI applications require a modern all-fl ash storage
infrastructure that is built specifically to work with high-powered analytics.
The Digital Edge Playbook for Payments and Commerce outlines how industry leaders are transforming their digital edge to leverage an ecosystem-based value chain for real-time insights and a frictionless experience.
Our simple, three-step strategy offers proven best practices on how to re-architect your presence, integrate cloud and SaaS capabilities and enable new offerings based on interconnected collaboration.
Download this whitepaper today to find out more.
The modern credit department is playing an expanded role in supporting sales and driving business growth. Traditionally, credit departments have focused on identifying potentially poor customers, thereby reducing losses and mitigating risks. Although this remains a critical function, credit departments also possess a wealth of data that can be mined to identify new business opportunities. With the help of new technologies, credit can work with sales departments by tapping into customer data and sharing insights for increasing sales. Download this white paper to learn more!
Companies are looking to their CFOs for strong leadership in developing corporate strategies and achieving growth. CFOs can meet these rising expectations by leveraging their knowledge of corporate data to extract valuable insights about customers, suppliers, partners and other stakeholders. Supported by analytics, CFOs can help their companies create a global, unified and clear view of their many relationships with customers and others to guide intelligent risk-taking and thoughtful investment—both necessary catalysts for growth. This capability will also enable the company, particularly its sales and marketing functions, to move faster and adapt more quickly to changing conditions. The 21st-century CFO is not only concerned with controlling costs and minimizing risk, but also with maximizing opportunities and generating growth. The right foundational technologies and organizational processes for data-driven decision making can help them achieve all of these strategic goals.
When the right approach is applied, analytics can drive more effective marketing strategies. While marketers understand the role analytics plays within the organization, most are not leveraging analytics to really drive enterprise performance. We surveyed 100+ business leaders to understand the state of analytics maturity across today’s leading organizations, uncovering common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage.
What We Uncovered:
- 73% of analytic professionals claim to work for an analytically-driven company
- Only 42% of companies have a strategy for using analytics across the enterprise
- Just 38% of companies share results of their analytic insights outside their department
- 81% of organizations rely on 3rd parties for at least some portion of their analysis
Download the report to learn how marketers, like yourself, view themselves in light of using analytics to drive their business.
Storing data is critical. Everyone stores data. Today, it’s all about how you use the data you’re storing and if you’re storing the right data. The right mix of data and the ability to analyze it against all data types is driving markets worldwide in what is known as digital transformation.
Digital transformation requires storing, accessing, and analyzing all types of data as fast and efficiently as possible. The end goal is to derive insights and gain a competitive advantage by using those insights to move faster and deliver smarter products and services than your competition.
A leading US-based broadcasting and publishing firm, with a market value of $17 Bn plus, creates, acquires and distributes entertainment content to global consumers over diverse platforms. The Company owns iconic media brands and has the viewership base amongst the US cable networks. The Broadcaster wanted to gain deeper insights into audience viewership patterns, advertisement impressions and sales data, in order to streamline the management of its advertisement deals. LTI's ADAPT (AD Sales Audience Prediction and tracking) solution optimized allocation, management, tracking and maintenance of advertisement air time to substantial increase in Marketing ROI.
Regardless of where you are on the path to transformation, get there faster with Hitachi Vantara - the only company with advanced data services for every type of data, from any application, on any vendor’s solution and for any need.
Together, Hitachi Vantara helps you unlock insights in your data, to ensure you’re ready for what's next in digital transformation.