The adoption of Microsoft 365 brings a mixture of power and peril. Organizations looking solely at the strong benefits of Microsoft 365 may not recognize some of the risks that the suite introduces. This document provides a brief overview of some of the issues organizations should be aware of when adopting Microsoft 365.
The exponential growth of data is driving efforts to reduce redundant, obsolete, or trivial data, also known as ROT. Nyxeia products simplify ROT reduction, with a single interface that scans documents across the network. Using natural language processing (NLP), text pattern matching, and context matching, Nyxeia analyzes metadata as well as document text to identify duplicates, saving valuable time, money, and tedious manual effort.
Governing terabytes or even petabytes of data requires automatic classification. Discover uses artificial intelligence to enhance metadata, create structured information out of unstructured data, and rapidly tag and classify millions of documents automatically, wherever they live. This enables organizations to mitigate risk, enhance efficiency, and lower IT costs.
Today’s world is moving faster than ever, which means that today’s data needs to move just as fast. You need a data analytics platform that can optimize your data at lightning speed and turn it into answers, insights, and business growth.
Explore the new e-book, You’ve Got Data. Do You Know How to Use It? from Teradata and Microsoft. You’ll learn why current data analytics just aren’t fast enough and how Vantage on Azure can help bring your business up to speed.
When Daniel Sullivan started Sullivan Solar Power he had one goal in mind: to transform the way the world generates electricity.
At the time his company launched in 2004 it was one of few in the San Diego area that installed solar power systems. Since then not only has Sullivan Solar Power grown tremendously, so has the industry itself.
But the company’s fast growth was hindering their ability to deliver. Sullivan Solar Power needed to find a way to stay ahead of the competition. Company leaders quickly identified that they needed a better way to manage an exploding volume of sales leads.
The company’s spreadsheet-based system for tracking leads was inconsistent and impossible to report on making it difficult to know the actual number of leads. The team turned to Quick Base to quickly build a centralized system to manage sales leads and other key company information. They have since leveraged Quick Base to streamline multiple processes and functions, from multiple business functions like HR, Purchasing, and IT.
Digital transformation has become the watchword—or, some would say, buzzword—in corporate suites for much of the past decade. The drive to leverage digital capabilities comes as operational agility is seen as the answer for innovating new business models and serving rapidly shifting customer demands. The Covid-19 pandemic has only intensified the need for organizations to move quickly to prepare for the next large-scale crisis or seize a new opportunity.
Quick Base has sponsored this research by Harvard Business Review Analytic Services to explore why IT leaders are embracing dual-track transformation, the impacts on their businesses, and how they are implementing rapid-cycle innovation to support this strategy. In this survey, you’ll see data that reflects input from over 400 IT leaders, as well as crucial insight from chief information officers at some of the largest companies in the world.
Process is the lifeblood of every business, and yet too many organizations suffer from processes that are inefficient and unsustainable. Whether your organization is stuck navigating a snarl of unwieldy spreadsheets and emails or painstakingly customizing large, complex systems with part-time support from overworked technical teams, the result is the same: a bogged-down business with frustrated employees, customers, and shareholders.
Creating and sustaining efficient business processes requires expert planning and design, but also supporting technologies to keep work moving across the entire process. In this eBook, we’ll show you how five different organizations transformed previously disparate tasks and workflows into a seamless process with all the benefits—at a fraction of the cost or time commitment—of customizing legacy business applications.
Microsoft SQL Server on Red Hat® Enterprise Linux® offers businesses additional flexibility, superior performance, enhanced security, and ultra-high availability for larger workloads. This combination provides a scalable foundation with a consistent application experience, whether deployed across bare-metal, virtual machine, container, or cloud environments.
The primary function of Forward Enterprise is to collect device configuration data from every network device, including state information that governs the active behavior of the device. Forward Enterprise can then model and anticipate the behavior of the entire network end-to-end, and report on potential vulnerabilities, policy violations or risk exposure.
The common identified process improvements we have seen at several large customers are:
Read how this financial institution cut costs by leveraging network verification in trouble ticket resolution, audit-related fixes, and change window frequency.
Network verification is a new technology for managing network chaos and automating key IT tasks such as troubleshooting, compliance processes, audits and change windows. Verification has been used in other engineering disciplines, such as software and semiconductor design, but has never been viable for networking until recent breakthroughs that Forward Networks helped pioneer. Since 80-90% of large enterprises are looking to incorporate intent-based networking into their IT strategy in the next few years, now is the time to determine how a verification platform can fit into your architecture going forward, and which use cases will bring the most benefit for your organization.
Today, networks have become so large and complex, along with constant changes to accommodate new services and business requirements, that networking teams can no longer document or manage all the details end-to-end. With potentially tens of thousands of devices and billions of lines of code, until now there has been no way to automate the analysis of network designs to quickly verify what devices you have, how they’re connected, where traffic goes, whether it’s really working, or what needs to change. Network verification is a rapidly emerging technology that provides deep insight to network behavior end-to-end, as well as automating many network troubleshooting and remediation tasks. Organizations are leveraging verification to help avoid outages, facilitate compliance processes and accelerate change windows.
Network verification is a rapidly emerging technology that is a key part of Intent-Based Networking (IBN). Verification can help avoid outages, facilitate compliance processes, and accelerate change windows. Full-feature verification solutions require an underlying mathematical model of network behavior to analyze and reason about policy objectives and network designs. A mathematical model, as opposed to monitoring or testing live traffic, can perform exhaustive and definitive analysis of network implementations and behavior, including proving network isolation or security rules.
In this paper, we will describe how verification can be used in key IT processes and workflows, why a mathematical model is required and how it works, as well as example use cases from the Forward Enterprise platform. This will also clarify what requirements a mathematical model must meet and how to evaluate alternative products.
With customer data increasingly driving the personalization strategies fueling the customer experience across marketing, sales, and customer support, your data strategy has never been more important. Customers expect consistent experiences across the myriad channels they interact with— whether in-store, on the website, or in an app.
Customer data is what fuels the teams and technologies responsible for your customer experience, but for years there was little incentive for companies to prioritize customer data as an asset itself to be taken care of and safeguarded. To take on personalization and privacy, you need a unified view of customer data at an individual level to deliver relevant experiences with consent.
In this eBook, you will learn how to scale engagement across all your tools and channels — accurately and with consent— in order to deliver experiences that matter to your customers.
On-demand cloud compute and storage services have grown steadily as companies continue their digital transformation journey. As businesses look to reduce costs, increase agility and improve the efficiency of their data center operations, they are selectively moving workloads to the cloud. The result has been the creation of a new business model known as hybrid cloud.
The goal of the hybrid cloud is to bring portability and consistent operations to on-premises and cloud environments. VMware Cloud on AWS is a joint development effort between AWS and VMware to deliver such an integrated cloud solution.
Learn how, with VMware Cloud on AWS, customers can:
• Reduce operational overhead and get to the cloud faster by leveraging existing
skills, tools, and processes familiar to IT personnel
• Align costs to business needs with flexible consumption options and
investment protection
• Get a single inventory view of both on-premises and VMware Cloud on AWS
resources using vCenter server technology
Cloud backup has a compelling value proposition for every enterprise looking to protect their data, and especially for remote and branch offices (ROBOs). Companies can reduce data protection costs by over 50%, minimize downtime, and enable central IT to manage backup and recovery remotely. Cloud backup allows companies to better comply with data privacy regulations and provides protection against data loss due to ransomware attacks.
Read this white paper to learn:
• Relevant business cases in which distributed data risk is especially high
• Why cloud-based data protection is ideal for ROBO
• Best practices for implementing cloud backup and recovery for ROBO
• How an effective cloud-based data protection solution looks like