Data retention compliance is challenging, regardless of the industry. Simplify and streamline your data management while improving regulation compliance
Data retention—sometimes also referred to as record retention—is the storing and maintaining of data and records for a certain time period to meet business, audit, and compliance requirements. From keeping accurate financial records and complying with regulations to disaster recovery and feeding analytic engines, businesses depend on sound data retention policies to function optimally. (more)
Legacy applications bog down digital transformation in many organizations. Businesses must modernize to stay competitive; using older apps can slow down and even hinder this process, wasting valuable resources—such as staff, money, and IT infrastructure—in the process. For this reason, CIOs, IT, and I& O leaders are under immense pressure to modernize and support digital initiatives with an intent to deliver transformational experiences for internal and external stakeholders.(more)
Data lifecycle management secures, stores, and structures your valuable enterprise data to meet regulatory requirements and fulfill business information demands while optimizing infrastructure and costs.
As the world moves into a fully-digital future, the amount of data enterprises produce is growing astronomically. According to a Seagate report, the total amount of data generated by 2025 will accelerate exponentially to 175 zettabytes. No wonder we refer to this as the Information Age and to data as the new oil! However, this data must be reliable, accurate, and readily available when needed to be truly valuable. Data lifecycle management can help. (more)
Data retention impacts your ability to comply with laws and the accessibility and performance of your data.
Your data retention policies define what data you need to retain or archive—and for how long—to meet business and compliance requirements. But in addition to addressing these requirements, these policies also contribute to improved data security, optimization of production systems, and reduced IT costs. Establishing a thorough data retention plan is an enterprise data management best practice. (more)
Email continues to grow as the number one communication and collaboration tool, and Microsoft Exchange Server remains the dominant on-premise solution for enterprise email. In addition enterprises must now retain more and more sensitive information to meet governance and compliance objectives. The net result is that enterprise IT is facing three major challenges to manage their Exchange Servers, and many are looking to cloud data management as a solution. (more)
Big data fabric is an emerging platform concept that aims to accelerate business insights “by automating ingestion, curation, discovery, preparation and integration from data silos,” according to Forrester, in its new report “The Forrester Wave: Big Data Fabric, Q2 2018.” (more)
It has been a over a decade since ‘Cloud’ became one of the most popular topics among IT professionals, and we’ve come a long way since then. Today, one can safely assume that the future of enterprise computing is in the cloud. Why? Cloud provides the much needed agility to IT operations, while reducing spend on infrastructure and software. The innovation brought together by the public cloud vendors in terms of server-less computing, low cost storage, flexible billing models, scalability, elasticity, enterprise grade security, and a number of purpose fit services has propelled many organizations across the world to redraw their IT landscape so they can leverage cloud to accelerate and sustain their digital transformation. To simply state — in today’s world, the advantages offered by cloud migration are far too many to ignore. (more)