APMdigest asked experts from across the IT industry — from analysts and consultants to users and the top vendors — for their opinions on the essential tools to support digital transformation. Part 5 is all about data.
CONTENT MANAGEMENT AND RECORD MANAGEMENT
Digital transformation presents opportunities to rethink and reinvent workflows, business processes, and customer service. Enterprise content management and records management provides instantaneous digital access to relevant information, with minimal effort. From a records management standpoint, built-for-purpose content services apps allows to integrate and manage information from previously isolated processes and silos –— meaning policies can now be applied to a much larger content pool. Policy application can now be automated, metadata and classifications are determined in the background, based on rules specific to the business process. Productivity and satisfaction increase as all this interconnected and analyzed content can now be surfaced in the right context across an organization's value chains and citizen-facing services.
Senior Director, Enterprise Product Marketing, OpenText
Digital transformation is a vague phrase with an unclear definition. One thing that is clear is the competitive value of being able to process and analyze the vast amount of data being generated by modern systems in a timely and effective manner. One must-have tool for harnessing this data is a fast and general engine for large-scale data processing. This tool provides high performance access to these dynamic but complex data collections, and provides interactive functionality which enables you to make better decisions more quickly and with a higher degree of confidence.
Manager, Community and Open Source Programs, Datadog
The crux of Digital Transformation is to obtain competitive advantage or improve efficiencies through actionable analytics. Thanks to on-demand access to powerful, scalable technologies, the cloud is ideally suited to consolidate data sets for high performance, integrated analytics. With efficient, continuous integration of high volumes of data between numerous sources and targets such as cloud infrastructures and increasingly ubiquitous data lakes, real-time data integration technology is the key enabler for Digital Transformation. The efficient and secure movement of data between sources and targets will allow organizations to derive more value from their data.
Mark Van de Wiel
The tool that is able to search, enrich and create useful information out of the petabytes of data that is being generated is the most important tool for digital transformation.You need to make sure you can measure what your users are doing but also be able to monitor and improve your infrastructure. Everything from the hardware to the software and the user needs to stored and correlated to make sure you can make the right decision.
Online Performance Consultant and Founder of Blue Factory Internet
CLOUD DATA MANAGEMENT
An organization that is truly committed to digital transformation must face the reality that a traditional on-premises data center is very often not the best venue for many types of digital initiatives. Digital transformation, therefore, inevitably leads to federated operations and infrastructure. Tools that enable the management of data and operations in a cross-cloud, multi-cloud environment are essential to long-term success in digital transformation.
CTO, JetStream Software
We see data storage as being the most crucial in digital transformation. Clearly, the most appropriate data storage solution evolves over the stages of the data life cycle. Not all stages are equal between the ingest or creation to the obsolescence and deletion of the data. Most critical is the active storage phase when the storage solution needs to deliver high performance to serve end-users in real time, be scalable to grow with expanding data sizes, reliable so it overcomes temporary hardware deficiencies and most importantly, cost effective.
CEO, Rozo Systems
FOCUS ON DATA
The most important factor to successful digital transformation is not a tool or technology, it's a mindset: an openness to putting data at the center of strategy and discovering the technologies best suited to transforming the business. Digital transformation must center around a data-driven opportunity. When companies force digital transformation, they often rush changes to one (or two) of three key factors: people, processes or technology. Therein lies the risk: change without sufficient focus on the data can cause a ripple effect of roadblocks and silos. A data-centric approach brings together the right people, practices and technologies –— such as analytics tools, AI and machine learning platforms, distributed application models, and in particular new data protection and management approaches –— to swiftly and safely dig out valuable insights from multiple data types and sources. In the coming years, new edge, core and cloud architectures will lead to data being even more distributed and dynamic than today. Digital transformation that's data-driven will enable real-time analysis at the edge and ensure the right data is being retained and protected for later decision making.
SVP and CTO, NetApp
Read The Essential Tools to Support Digital Transformation - Part 6, covering the development process.
Incident management processes are not keeping pace with the demands of modern operations teams, failing to meet the needs of SREs as well as platform and ops teams. Results from the State of DevOps Automation and AI Survey, commissioned by Transposit, point to an incident management paradox. Despite nearly 60% of ITOps and DevOps professionals reporting they have a defined incident management process that's fully documented in one place and over 70% saying they have a level of automation that meets their needs, teams are unable to quickly resolve incidents ...
Today, in the world of enterprise technology, the challenges posed by legacy Virtual Desktop Infrastructure (VDI) systems have long been a source of concern for IT departments. In many instances, this promising solution has become an organizational burden, hindering progress, depleting resources, and taking a psychological and operational toll on employees ...
Within retail organizations across the world, IT teams will be bracing themselves for a hectic holiday season ... While this is an exciting opportunity for retailers to boost sales, it also intensifies severe risk. Any application performance slipup will cause consumers to turn their back on brands, possibly forever. Online shoppers will be completely unforgiving to any retailer who doesn't deliver a seamless digital experience ...
Black Friday is a time when consumers can cash in on some of the biggest deals retailers offer all year long ... Nearly two-thirds of consumers utilize a retailer's web and mobile app for holiday shopping, raising the stakes for competitors to provide the best online experience to retain customer loyalty. Perforce's 2023 Black Friday survey sheds light on consumers' expectations this time of year and how developers can properly prepare their applications for increased online traffic ...
This holiday shopping season, the stakes for online retailers couldn't be higher ... Even an hour or two of downtime for a digital storefront during this critical period can cost millions in lost revenue and has the potential to damage brand credibility. Savvy retailers are increasingly investing in observability to help ensure a seamless, omnichannel customer experience. Just ahead of the holiday season, New Relic released its State of Observability for Retail report, which offers insight and analysis on the adoption and business value of observability for the global retail/consumer industry ...
As organizations struggle to find and retain the talent they need to manage complex cloud implementations, many are leaning toward hybrid cloud as a solution ... While it's true that using the cloud is not a "one size fits all" proposition, it is clear that both large and small companies prefer a hybrid cloud model ...
In the same way a city is a sum of its districts and neighborhoods, complex IT systems are made of many components that continually interact. Observability requires a comprehensive and connected view of all aspects of the system, including even some that don't directly relate to its technological innards ...
Multicasting in this context refers to the process of directing data streams to two or more destinations. This might look like sending the same telemetry data to both an on-premises storage system and a cloud-based observability platform concurrently. The two principal benefits of this strategy are cost savings and service redundancy ...
In today's rapidly evolving business environment, Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) are grappling with the challenge of regaining control over their IT roadmap. The constant evolution and introduction of new technology releases, combined with the pressure to deliver innovation on shrinking budgets, has added layers of complexity for executives who must transform the perception of the role of the IT leader from cost managers and maintainers to strategic enablers of growth and profitability ...
Artificial intelligence (AI) has saturated the conversation around technology as compelling new tools like ChatGPT produce headlines every day. Enterprise leaders have correctly identified the potential of AI — and its many tributary technologies — to generate new efficiencies at scale, particularly in the cloud era. But as we now know, these technologies are rarely plug-and-play, for reasons both technical and human ...