New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
In the age of the customer, businesses realize the need to take their big data insights further than they have before, in order to win, serve, and retain their customers. Today’s modern company has more data than ever before and is now looking to derive insights from the data that will help propel it forward. As firms move data analytics to the cloud, there is a new set of challenges and barriers to overcome, but with the help of insights-platforms-as-a-service, companies will be able to innovate with data and drive business forward.
Published By: Dell EMC
Published Date: Oct 08, 2015
Download this whitepaper to learn how Dell can help you realize the full value of your big data strategy—and to capitalize on all of your data, from enterprise systems to social media and the Internet of things.
Published By: Riverbed
Published Date: Jul 17, 2013
Your business is complex. Big data promises to manage this to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, causing delays and downtime. Forrester predicts this will worsen. To combat this onslaught, you need machines to analyze conditions to invoke automated actions. To perform adaptive automation, you need IT analytics, a disruption to your monitoring and management strategy. This report helps leaders prepare for IT analytics that turn big data efforts inward to manage the technology services that run your business. Register to get the full report.
Published By: NTT Ltd.
Published Date: Jan 16, 2019
NTT Data services has over 600+ BI experts and over 250+ implementations in India, receiving high accolades from Gartner and AMR research. NTT Data Services offers Industry focused offerings and pre-configured models. Some of our offerings include:
- Guided Analytics Strategy - Proven Framework & Methodology for ‘C’ level executives
- Solution lab for Co-Innovation and Proof of Concepts
- Advisory Services - BI Transformations, Big Data Strategy, Information Governance, Health Checks
- Proprietary Tools & Accelerators – System Optimization, Architect to Archive, User Adoption
- Flexible Delivery - Rapid Development Factory, Shared Services
Find more details in this deck.
Published By: Mimecast
Published Date: Mar 19, 2019
An Executive Strategy Guide Brought To You By The Cyber Resilience Think Tank
Big budget or not, CISOs must make threat intelligence a priority and learn how to focus on only the data that matters—data that will help mitigate future risks.
Though the technical definition of threat intelligence may change depending on who you ask, one factor remains constant: If threat intelligence isn’t part of your cyber resilience strategy in some capacity, you have a massive gap on your hands. And you may be blindsided by a phishing attack, malware incident or worse.
Read this Cyber Resilience Think Tank executive strategy guide to develop a plan to architect a threat intelligence program in your organization.
While software is essential to any big data strategy, it is not enough. Organizations must transform their infrastructure based on innovation in storage and memory to align with the increased need for faster, real-time decisions. Download this white paper to learn more.
Businesses that exploit Big Data to improve strategy and execution are distancing themselves from competitors. The Big Data solution from EMC provides market-leading, scale-outing storage, a unified analytics platform, and business process and application development tools. Together, these allow organizations to draw deeper insights and become a more predictive organization.
In an IT landscape dominated by big data, mobility, social networking and cloud computing, integration will not only grow in importance, its very nature will change. This paper will discusses the 21st Century IT landscape as it relates to the new integration, and argues that the need for a comprehensive integration strategy has never been more urgent.
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics.
He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
Cloud, social, big data, and the Internet of Things (IoT) are increasingly central to business decisions as the pace of digitization accelerates. The impact of software-defined networking (SDN), virtualization, and converged and hyperconverged infrastructure within the datacenter is substantial. These technologies add complexity but offer enticing opportunities for new business models, revenue streams, operating efficiencies, and agility that organizations must pursue if they want to remain competitive and viable. This pursuit requires businesses to keep up with current and emerging technologies and applications and transform the ways in which they conduct business. At the core of "keeping up" is an organization's datacenter strategy — with an associated technology and services strategy that will either create industry laggards or accelerate innovators.
Rapid shifts in the ways that technology and information are consumed and delivered— through cloud computing, big data, social networking, and smart devices—are transforming how companies compete. IT is at the center of the fray, working with business leaders to develop and execute a digital transformation strategy that capitalizes on these major new technologies. In order to lead this transformation, IT executives must focus on three areas: collaborating with business leaders to build a strategic vision, modernizing technology infrastructure, and rebuilding IT organizations to execute against new digital business goals.
As executives witness data’s proven impact on performance and innovation and recognize its strategic significance, they also realize the growing need for a leader whose primary role is to understand and advocate on behalf of data: The Chief Data Officer.
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones.
More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
IBM offers a comprehensive solutions portfolio that helps insurance companies integrate big data and analytics capabilities into their telematics strategy. The portfolio incorporates dozens of new patented technologies developed by IBM Research and builds on IBM Watson Foundations.
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
With IBM analytics for big data with a smart mobile strategy, banks can increase wallet share and assets under management while lowering the organization’s operating ratio by using more efficient channels.
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.