Asset management for local government
This white paper discusses how IBM Maximo Asset Management solutions for local government provide a consolidated, trusted platform for simple and effective management of all asset types.
Continuous Delivery is Reshaping the Future of ALM
Continuous delivery equals competitive advantage releasing software many times a day may sound like science fiction, but it’s reality for a growing number of firms. Continuous delivery is a shift to assembly of components and services, and a new DevOps compact provide the means to pivot away from the frustrations of the past to become the enabler of new, exciting digital customer
experiences.
Continuous Delivery: Five Habits of Highly Successful Practitioners
Continuous Delivery is a development discipline in which software can be released to production at any time. It’s about building a development and release pipeline where early feedback, automated build and test, and incremental deployments into production can dramatically speed up release cycles. Indeed, you accelerate your time to market -- providing a continuous flow of “release candidates” for business acceptance -- without sacrificing quality.
Big Security for Big Data
In order to meet current security problems, a new paradigm shift needs to occur. Businesses need the ability to secure data, collect it, and aggregate into an intelligent format, so that real-time alerting and reporting can take place. The first step is to establish complete visibility so that you can monitor your data and those who access it. Next, you need to understand the context, so that you can focus on assets that are critical to your business. Finally, you need to utilize the intelligence gathered so that you can harden your attack surface and stop attacks before data is exfiltrated. This white paper will give you the information you need to get started.
Top 10 Endpoint Backup Mistakes
Backing up and protecting sensitive corporate data has become more challenging because of several trends: exponential data growth, the rise in endpoints, BYOD, and SaaS applications. Avoid the following ten endpoint backup mistakes to ensure that your critical corporate data is protected and end user productivity is improved.
Survival Guide for Data in the Wild
It’s a wild world outside the corporate firewall. Protecting data for your entire company is a heavy responsibility. There’s the employee who leaves his laptop in the airport. And the former employee who still has access to corporate data from her personal device. Or the ever-present danger of litigation. You’re accountable for a wide range of scenarios that put your corporate data at risk.
Fortunately, you don’t have to go it alone. Learn from the experience of others to ensure that you’re prepared for every threat to your corporate data in the wild. With step-by-step instructions, this Survival Guide is your most valuable tool for keeping corporate assets out of harm’s way.
Recommendations for Simplifying OS Migration
OS migration is typically time-consuming and expensive. The average enterprise migration project takes 18-32 months from conception to completion and involves significant IT time and end-user downtime. An endpoint backup solution can simplify OS migration by giving IT the ability to migrate data, as well as system and application settings, effectively and seamlessly. To make your next migration easy, follow these six recommendations when planning your project.
Information Governance Best Practice: Adopt a Use Case Approach
When should you implement integration governance? According to this Gartner research note, you should start now if you are an IT professional considering an initiative like MDM, e-discovery, information archiving or cloud migration. The need for governance is prompted by a combination of massive data growth, litigation, new data types, scrutiny from a regulatory perspective and new information privacy risks.
Improve the Confidence in Your Big Data with IBM InfoSphere
This white paper discusses how IBM InfoSphere can improve the confidence in Big Data across nine common use cases including Single Customer View, Application Development, Application Efficiency, Security & Compliance, Application Consolidation & Retirement, Data Warehouse Augmentation, Operations Analysis, Security/Intelligence Extension and Big Data Exploration.
Big Data Needs Agile Information And Integration Governance: Forrester Consulting Report
Organizations are no longer asking what big data is, they are looking at what big data can do. Information and integration governance (IIG) is playing a significant role to move big data from the realm of possibility to the reality of business outcomes. Rather than bypassing IIG with the goal of agility and fast results, organizations are embracing it and recognizing that IIG is a critical factor in the success of big data initiatives.
Data protection for big data environments
As organizations plan big data projects, business and IT leaders must recognize that data security cannot simply be added later - it must be built into big data implementations from the start. This ebook walks through the requirements of big data security.
Data masking everywhere – Design standard and repeatable data privacy policies across the enterprise
The new era of computing has arrived: organizations are now able to process, analyze and derive maximum value from structured, unstructured and streaming data in real time. However, in the rush to achieve new insights, are privacy concerns being neglected? With the average cost of security-related incidents in the era of big data estimated to be over USD40 million, you can’t afford to ignore data privacy as a top requirement.
Preserving quality: Fundamentals of reference data management
Most enterprise applications contain reference data, built into code tables, to classify and categorize product information, customer information or even internal transaction codes. This data changes relatively infrequently—but it does change over time, and given its ubiquity, synchronizing reference data values and managing changes across the enterprise is a major challenge. This e-book introduces five tenets of a solid reference data management strategy and how you can use them to build a consistent foundation for your business’s information management needs.
Magic Quadrant for Master Data Management of Customer Data Solutions
This Gartner's Magic Quadrant offer insight into the part of the packaged MDM solution market that focuses on how organizations master and share a "single version" of customer data with multiple views of it across their organizations - achieving a single version of master data is a key initiative for many organizations. Learn about IBM's leadership position with regard to both its Master Data Management vision and its ability to execute on that vision.
Data virtualization: Delivering on-demand access to information throughout the enterprise
In order to get a deeper understanding of what is happening and how to influence it, access to all data, big or small, is becoming increasingly important. Data virtualization is an integration approach to provide easy access to these sources of information, including big data, on demand.