Information Lifecycle Management

Guiding Technology Trends for 2015

By | 2016-12-06T15:47:53+00:00 January 20, 2015|Categories: Fusion Blog|Tags: , , , , , , , , |

As we settle into 2015 with a fresh outlook and new goals, we have been following some key technology trends that are shaping the future of our client’s businesses, as well as our own. As the technology landscape continues to evolve rapidly, businesses must remain agile and willing to adapt. Changes in mobile, data security,

Crossing the Data Disposal Finish Line

By | 2016-12-06T15:47:55+00:00 October 16, 2014|Categories: White Papers|Tags: , , , , , , , |

Maven Wave Senior Principal, Brad Foster, will be presenting at the IBM Insight conference next week. This conference is focused on big data and analytics and Brad will be presenting on “IBM Stored IQ and Maven Wave Data Disposal Accelerator to Expedite the Process of Data Disposal.” Below is a sneak peek into his presentation.

Abbott

By | 2016-12-06T15:48:00+00:00 June 19, 2014|Categories: Case Studies|Tags: , , , , , , , , |

Company Profile Abbott Laboratories is an American pharmaceuticals and health care products company. Abbott has four core businesses - diagnostics, devices, nutrition, and pharmaceuticals - all of which focus on innovation to improve the health needs of people in more than 150 countries. Business Situation Abbott was experiencing an estimated 40% annual growth in its

A Guide for Getting Started with Data Disposition

By | 2016-12-06T15:48:01+00:00 April 22, 2014|Categories: White Papers|Tags: , , , , |

Information Lifecycle Management Companies often have both tactical and strategic concerns around data management, and specifically, disposition of unnecessary data. While there is no silver bullet for this common issue, we do have an approach that makes getting started more manageable. Separate the Wheat from the Chaff When winnowing grain, you don’t pay attention to

Who Needs an ILM Strategy? 3 Characteristics of a Good Candidate

By | 2016-12-06T15:48:03+00:00 January 30, 2014|Categories: Fusion Blog|Tags: , , , , , , |

In a recent survey, responding companies were found to be using only 30% of the data they had under management and that total data volumes are growing at a rate of 35%. The central premise of Information Lifecycle Management is to manage the data explosion that most companies are facing today by keeping only what

Jump-Start Your ILM Program

By | 2016-12-06T15:48:03+00:00 January 11, 2014|Categories: White Papers|Tags: , , , , , |

Six Strategies for Getting Started As data volumes continue to skyrocket, companies are looking for ways to manage the rapid growth as well as the cost and risk impacts that come with it. Information Lifecycle Management is the practice of reducing cost and risk by archiving and disposing of data that has no value to

Big Data Becomes Big Cost If You Don’t Manage It

By | 2016-12-06T15:48:04+00:00 October 23, 2013|Categories: Fusion Blog|Tags: , , , , , , |

2013 has been termed the “big data” year as the business and science worlds focus on how large datasets can give insight on previously intractable challenges. Companies are now churning out massive volumes of data and capturing trillions of bytes of information about their customers, suppliers and operations.The growth of data can be attributed to

Mitigating the Risks and Costs of Data Storage

By | 2016-12-06T15:48:06+00:00 May 21, 2013|Categories: White Papers|Tags: , , , , , |

Information Economics 101 Introduction We recently asked Brian Bradley, a Senior Principal with Maven Wave, to answer the most common questions his prospects and clients pose about Information Lifecycle Management, or ILM.  Brian has had recent experience leading ILM engagements for several large companies in the financial services and healthcare industries. His responses follow below:

A Smarter Way to Cut Storage Costs

By | 2016-12-06T15:48:06+00:00 January 1, 2013|Categories: White Papers|Tags: , , , , , |

Information Lifecycle Management A quick Google search on the phrase “Big Data” generates over 900 million responses.  In comparison to other recent trending terms, that’s about 850 million more than “trillion dollar coin” and three times as many as “Gangnam style”.  There’s no doubt that “Big Data” is a big issue for all industries.  In