Archive for the ‘information intelligence’ Category
By admin on July 25th, 2012
StoredIQ Introduces DataIQ – a New Data Intelligence Application for Answering Big Data Questions
Utilize intelligent overlays to spot potential issues.
As we worked with customers over the years on information management initiatives from eDiscovery, information governance, storage, and records retention, one common theme bubbled up over and over…customers needed a simple tool to give them a comprehensive understanding of their unstructured data.
To meet those needs, today StoredIQ introduced DataIQ, an innovative application designed on the StoredIQ Plaform that reduces the complexity of understanding and analyzing Big Data. DataIQ was designed as a quick start data intelligence application that empowers customers with knowledge about their data to better plan and prepare for any information management project.
“Every company has more data than it can manage. But few can precisely locate it, assess the value of it, or make much sense out of it when they need to. Information management projects can be very intimidating. To set a course for success, organizations need to build insight regarding the whereabouts, meaning, and usage of their data.” –Ted Friedman, VP and distinguished analyst, Gartner
DataIQ gives organizations a simple, low-cost, visualization solution to understand their unstructured data — without first moving it to a repository — to help answer questions such as:
- How much data do you have across your enterprise?
- What are your largest repositories?
- How much old, un-used data do you have and where is it?
- Who owns data that is violating corporate policies?
- Which data is relevant to your business and which is just taking up space?
DataIQ scales from terabytes to petabytes, from single corporate offices to global enterprises, and provides a single, holistic view across a multitude of enterprise data sources and hundreds of file types — without moving any data from its native location. DataIQ gives companies the ability to:
- Identify – interesting subsets of information without moving any data across the corporate network
- Analyze – data using advanced visualizations to spot compliance violations, get out in front of the eDiscovery process, make infrastructure planning decisions, jump start records initiatives, etc.
- Act – copy, collect, move data that requires further processing or retention; defensibly delete data that provides negative value to the company
Pricing and Availability
DataIQ is currently in Beta and will be generally available in August 2012. DataIQ is priced as a subscription model based on TB or PB of data under management. For additional pricing information, contact StoredIQ for a DataIQ quote.
Learn more about DataIQ today!
TOPICS: Big Data, data assessment, information intelligence, information management, information relevance
By admin on June 5th, 2012
StoredIQ Releases ‘The Truth About Big Data’
Introducing, ‘The Truth About Big Data’, a new online book for enterprises designed to serve as a blueprint for Big Data management issues.
Whether you’re a CIO, IT manager, records or compliance officer, or corporate counsel; the e-book is designed to get you out in front of the challenge of managing the ‘Truth About Big Data’ in your organization. It’s the first in a series of booklets that will unravel the myths behind what Big Data is, and the management solutions that will work to unlock its value.
Big Data is now synonymous with ‘volume, variety, velocity, and value’ which relate to how much data you have, how many data types there are, how fast the data is changing, and what potential impact the data might have on your business. Unmanaged, unstructured data is the primary source of Big Data growth, as well as the cause for IT and corporate pain. Decreasing the risks and costs, and increasing the value of managing Big Data assets is a corporate imperative.
After many conversations with industry analysts, customers, and other companies struggling with data management issues, we’ve identified a core list of ten things every CIO should look at as they engage in Big Data projects, and they may not be what you think. This booklet calls into question some long-standing beliefs about how companies should manage their data.
Download the ‘Truth About Big Data’ and begin your Big Data conversation today!
TOPICS: Big Data, information governance, information intelligence, information management
By admin on November 17th, 2011
eDiscovery: Incremental, Single-Instance Collections vs. Data Re-Use
I recently read an article in LTN, authored by Evan Kobletz, covering the Guidance product announcement – “Guidance Adds Data Re-use Feature to EnCase eDiscovery”. After some discussion at StoredIQ, we’re actually pretty excited about the coverage. It sheds light on capability that we’ve had for years now, and probably don’t talk enough about. In fact, the article also highlights several competitors that still don’t have it. The StoredIQ term for ‘Data Re-use’ is ‘Incremental, Single-Instance Collection’, but setting aside semantics, we believe it’s a fundamental component for conducting thorough, legally sound eDiscovery collections.
What does this mean to eDiscovery customers? The first time a file is relevant to a case, we’ll take a forensically sound copy and place it on a retention server for preservation with a litigation hold tag specific to the given matter, without altering the metadata and without interrupting end users. If it’s an ongoing case, we’ll perform incremental collections – meaning that we’ll only get another copy if that file has been changed (or if other new relevant files are created). When another case crops up, and the same file is once again relevant, StoredIQ is aware that the file is already on retention and instead of taking the time, bandwidth and storage space to collect another copy StoredIQ just places an additional hold tag on the file. If your company is in a highly litigious industry or has a number of serial litigants, you can imagine the savings this can add up to over time. Only when all matters for a given file are concluded, and the obligation for legal hold is removed, will the file be available for disposition from the repository.
Possibly because StoredIQ has had this capability for quite some time, we’ve taken for granted that incremental, single-instance collection is a standard feature of any intelligent eDiscovery technology that has a collections component. And more importantly, a feature that eDiscovery customers should consider closely. Note that the article also mentions that this feature also enables users to “search collection sets from previous litigation”. That statement alone makes me wonder how many case collections have been jeopardized by not having the capability to search and produce data from the preservation location used by previous and simultaneous, on-going cases?
On a broader scale, in the LTN article, Kobletz, states, “Data reuse is a growing trend in the e-discovery industry.” We at StoredIQ actually see ‘data reuse’, to use the same term, as a trend that goes well beyond eDiscovery. The same data that your legal team needs to identify and collect for a legal matter, is also the same data that your records management team needs to classify, your IT team needs to store and manage, and your compliance officers need to govern. At the end of the day, your corporate data is all being ‘re-used’ by multiple departments – not just the legal team for multiple matters.
What companies need is the ability to identify, classify, manage, and act on their data assets – to provide value across the entire organization. That’s something you won’t get from Guidance, or any point solution eDiscovery product. At StoredIQ, we’re focused on delivering powerful information governance products that can provide the comprehensive data insight and control that corporate counsel, compliance managers, and records managers need to make the best and most informed decisions, while meeting the stringent requirements that IT departments demand.
TOPICS: eDiscovery, information governance, information intelligence, information management