Digital transformation is the process of creating value, growth, and competitive advantage through new offerings, business models, and business relationships that are data centric and data driven. It’s about changing the way that business gets done. This transformation also places IT at the forefront when making strategic business decisions related to redefining business processes and operational efficiencies, shifting work and employee productivity, changing customer relationships, increasing buyer loyalty, and transforming product and service revenue streams. IDC believes that IT organizations must assume a critical role in the forthcoming digital reinvention by assuming the position of being a critical business innovation platform.
In this exclusive report, you’ll find out how to use deep social media data to pursue new clients, perfect your data-driven pitches, and master the results with custom, easy-to-read reporting. It’s a data world, and agencies need to bring the best insights on the market to win new clients and keep existing business.
This guide will get you started.
Published By: Oracle ODA
Published Date: Dec 06, 2016
IT leaders must consider new approaches to database administration, implementation, and security, including proactive management, to reduce time-consuming administrative tasks. This, in turn, will free them to develop strategies for capitalizing on the new data-driven initiatives that can help transform the enterprise. Learn more about these opportunities as well as how products, such as an integrated Database Appliance, can streamline the management of these tasks, while reducing costs and time.
Published By: Oracle ODA
Published Date: Dec 06, 2016
It’s no secret that data-driven business strategies have resulted in unprecedented data growth and management of more complex database structures. Not only that, but IT leadership continues to play a strategic role in the direction of the business, especially as these disruptive business strategies come into play. This white paper addresses some of the key considerations IT management should have as they evaluate their IT roadmap and infrastructure to meet these dynamic enterprise needs.
Whilst businesses of all kinds are utilizing data analytics, many are still only using it to make simple changes that lead to a set of rigid processes. Whereas the more customer-focused organizations are realizing that to deliver exceptional experiences, they need to be able to react to customer data in real-time and predict what might happen next. And that means going beyond simple analytics.
Read our whitepaper to discover what analyst firm Forrester has identified as the Enterprise Insight Platform, technology designed to enable companies to transform into truly data-driven businesses.
Published By: Rackspace
Published Date: May 15, 2019
The guide to how SQL Server 2008 end-of-service can drive IT modernization.
End-of-service presents serious risks to your organisation if you don’t deal with it correctly—or worse—if you don’t deal with it at all, including the
loss of access to critical security updates and Microsoft hotfixes. Also, if you don’t take action, your organisation will be exposed to potential disruption from hackers and malware. That means valuable customer data could be exposed to attack, risking monetary and reputational damage. And from a regulatory standpoint, there could be compliance issues with rules such as HIPAA, PCI, and GDPR.
On the other hand, if you take well-considered action that aligns with your long-term strategy, end-of-service is also an opportunity for data estate
In this e-book, we’ll discuss how migration to Azure as part of your fix for SQL Server 2008 end-of-service solves for all these, and opens doors for the future of your data-driven business.
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.
In this infographic, we are going to show you the possibilities with modernized, 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 previously 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.
The data-driven organization is the new benchmark for success. Firms that harness data to dictate strategic and tactical decisions companywide make more informed business plans, better optimize operations, improve customer interactions, and provide competitive edge. To achieve these benefits, organizations increasingly see data refinement - transforming raw data from various sources into relevant and actionable information and delivering it through self - service access to any user who needs it - as the path toward success by helping break though immature processes and legacy systems. However, data refinement only functions as well as the strategies and approaches behind it. Organizations that do not understand the right way to embrace refinement will fail to catch up to competitors that have mastered the correct approach.
Leveraging analytics to drive business growth is top-of-mind for corporate (C-Suite) leaders, prompting HR executives to take a more strategic, data-driven approach to workforce management. Learn the art and science of combining workforce data, business data and IT expertise together to allow HR departments to make more effective and efficient decisions about people.
Published By: Lookout
Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years.
As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
Watch the webinar to learn more about:
What makes up the full spectrum of mobile risks
Lookout's Mobile Risk Matrix covering the key components of risk
How to evolve beyond mobile device management
Published By: Carbonite
Published Date: Oct 10, 2018
Organizations still struggle with communication between data owners and those responsible for administering DLP systems, leading to technology-driven — rather than business-driven — implementations.
Many clients who deploy enterprise DLP systems struggle to get out of the initial phases of discovering and monitoring data flows, never realizing the potential benefits of deeper data analytics or applying appropriate data protections.
DLP as a technology has a reputation of being a high-maintenance control — incomplete deployments are common, tuning is a never-ending process, lack of organization buy-in is low, and calculations of ROI are complex.
Today's data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges, while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance performance.
Published By: Mimecast
Published Date: Dec 20, 2018
Over the last few years government agencies have been concerned with protection of personal data and consequences of data breaches on business and citizens. That’s driven businesses to look how rules and regulations can help guide organizations to build systems and processes that protect peoples data. Watch now to learn more.
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
Published By: Datastax
Published Date: Aug 23, 2017
Kenzan, a software engineering firm that specializes in building scalable, data-driven solutions, often leverages DataStax Enterprise (DSE) for customers that have high expectations for both performance and value. That means making careful, informed choices when designing the cloud infrastructure that applications run on.
Controlling costs is always a priority for businesses that rely on AWS for running DSE. With AWS, it can be tempting to solve performance issues simply by adding more resources until the problem goes away. However, this “solution” results in increased costs which quickly add up over time.
In this white paper, Kenzan and DataStax identify some of the key factors to consider when building out infrastructure on AWS, outlining practical steps you can take to optimize performance with DSE on AWS while keeping costs in check.
Published By: Datastax
Published Date: Aug 23, 2017
A holistic approach to using customer data to enable data-driven decisions for attracting, retaining, and delivering value through customer experience is what is going to drive many business initiatives over the next 12-month period. Though they each have varying degrees of capability to transform their customer experience applications and remain continuously available no matter what is critical to their success.
Companies surveyed are eager to deliver a great customer experience and capture market share, but many CX journeys are hindered by business unit siloes, insufficient budget, and technical challenges.
The responses provide key insights into the business priorities, challenges, and data technology needs of companies embarking on or in the midst of their CX journey.
Published By: ServiceNow
Published Date: Sep 18, 2018
What is a performance based business? A performance-based business is an organization guided by data-driven decisions. It is proactive, self-aware, and highly competitive. Data isn’t siloed in a business analytics department. Instead, the right people have the right data at the right time and in the right context.
The top 5 reasons to become a performance-based business:
1. Get better results.
2. Align your entire business.
3. Make data-driven decisions.
4. Manage change more effectively.
5. Spot trends faster.
Discover how ServiceNow Performance Analytics could benefit your business by downloading this eBook.
IBM Cloud Private for Data is an
integrated data science, data engineering
and app building platform built on top of
IBM Cloud Private (ICP). The latter is intended
to a) provide all the benefits of cloud
computing but inside your firewall and b)
provide a stepping-stone, should you want
one, to broader (public) cloud deployments.
Further, ICP has a micro-services architecture,
which has additional benefits, which we
will discuss. Going beyond this, ICP for Data
itself is intended to provide an environment
that will make it easier to implement datadriven processes and operations and, more
particularly, to support both the development
of AI and machine learning capabilities, and
their deployment. This last point is important
because there can easily be a disconnect
between data scientists (who often work for
business departments) and the people (usually
IT) who need to operationalise the work of
those data scientists
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform.
This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
Ongoing digitization has created vast streams of data, forcing businesses to become more data-driven than ever
before. While the benefits of being a data-driven organization are clear (improved performance, more profitability,
stronger innovations), there are still some technical and business challenges to overcome. Thanks to technological
advancements in data analytics, companies in all types of industries can become data-driven. Read this e-book to
discover what it means to be a data-driven organization and to learn the basic do’s and don’ts of how to get there.
Compliance doesn’t have to be a scary word, even when facing the multifaceted challenges of the European Union’s General Data Protection Regulation. In fact, following through with plans for sustainable GDPR compliance can have many long-term benefits for your organization. That's because relying on data-driven decisions across the board sets you on track to gain a competitive edge.
In February 2018, SAS conducted a survey with 183 global, cross-industry businesspeople involved with GDPR at their organizations. Based on the survey results, this e-book delves into the biggest challenges and opportunities organizations have faced on the road to GDPR compliance.
Read on for advice from industry experts about the best path to compliance. Learn what steps your peers across a variety of industries have already taken and discover how an integrated approach from SAS can continue to guide your journey toward GDPR compliance.
Organizations today are increasingly information-driven, requiring them to create, organize, and store more data every day. To handle the conversion of “data to information”, you need an agile and scalable infrastructure which will provide the backbone to run multiple business-critical workloads simultaneously. This IDC white paper examines the need for the NetApp FAS8080EX hardware-optimized platform to help organizations transform into data-driven entities, adopt newer technologies, and invest in business-critical applications to stay ahead of their competition.
People are the most important
part of your organization.
Understanding what they do,
how they do it, and even why
they do it, provides invaluable
insights for optimizing your
processes, department, or
And as a business leader, in many ways
you’ve never had it so good. There’s more
people data available than ever before,
and you’ve got the opportunity to put it
to work through data-driven initiatives
like changes to workforce demographics,
employee retention, or benefits allocations.
And most important, you have a chance to
fuel business decision-making with smart
Once you’ve learned how to turn your
people data into real business value, you’ll
create more visibility within your business,
and everyone will see that the rewards of
HR analytics are worth the effort. It’s time
to take the opportunity to prove the value
of data-driven HR. No more darkness.
Otherwise, the only journey ahead is into
some challenging pitfalls. We’ve identified
five of t
Access to comprehensive, up-to-date information about your infrastructure is critical to meeting the challenges of a service-led IT organization. You need visibility into your entire IT infrastructure, including both multi-vendor and multi-cloud environments, so you can make data-driven decisions and improve IT services. Discover how you can manage, monitor, and report on IT services across your entire data infrastructure so you can drive intelligent business decisions and reduce costs.