As the enterprise data set continues to sprawl out of control, (the average enterprise data set is well over 400 terabytes), the need to collect all the data about the data will become increasingly important to your governance strategy.
Automating these collection steps will also be a valued commodity in the future of compliance and governance teams to make data-driven decisions on the data. Having all the data collected in a single location also allows for ease of finding data by any combination of content, metadata, and added classification of over 150+ out-of-the-box policies that are ready to go today.
Aparavi’s Data Intelligence and Automation platform are uniquely positioned to become that must-have tool that gives the power to these teams to make educated decisions not based on just the common fields but using all available metadata fields.
Ever wonder why data management processes are so difficult today? Data chaos is running rampant in the enterprise today. Data is everywhere, SAN, NAS, Local, DAS, Cloud storage, collaboration tools – the list goes on. The practice of proper data management is complicated by this massive amount of data sprawl.
If you compound this data sprawl with the lack of knowledge about the data, well the problems are now almost insurmountable to overcome. Therefore “Knowing Your Data Is Half the Battle”. Understanding the data landscape has always been a challenge, however, when you tally up the total data set that's being managed by the average enterprise today, this total is well over 400 terabytes of data.
Breaking down how much 400 terabytes is equivalent to 24000 stacks of documents as high as the Eiffel tower, or 8000 high-definition blue Ray films. This amount of data is impossible for humans to manage. There are an estimated 1 million files per terabyte of data, meaning the typical enterprise organization now stores, protects, governs, and manages over 400 million data files within their enterprise data stores. This is the mere definition of data chaos.
Storage tiering helps organizations save time and money, especially when looped into Aparavi, The Data Intelligence & Automation Platform. Aparavi helps organizations make the most of their out-of-support storage devices or servers, cut costs, protect the data that needs to be highly available and recovered quickly if some sort of disaster recovery is needed, and move large groups of files for archiving, compliance, security or data retention purposes. This podcast will explain how Aparavi helps organizations easily orchestrate data to optimize primary, secondary & tertiary storage.
With Data Sovereignty, it's all about location - and ensuring that customer data stays in the customer's country of residence. So how can you achieve a bird's eye view of your enterprise data, and manage data sovereignty requirements confidently and securely? Listen to this podcast to understand how Aparavi makes it easy to adhere to data sovereignty obligations by ensuring that customer data stays within the borders of a country, and limiting access to users within that country, with roles-based access rights.
Data breaches are increasing at an exponential rate as more devices are connected to the enterprise data ecosystem. Companies are struggling to balance two competing business concerns. On the one hand, employees need access to information to support business objectives like increasing revenue, profitability and customer satisfaction. On the other hand, companies need to protect sensitive or business critical data, and prevent cybersecurity incidents. The Aparavi Platform has partnered with Secutor to combine Aparavi’s deep knowledge of enterprise data with Secutor’s Threat and Vulnerability Management services, so customers can make intelligent business decisions while protecting their data. Join us for a podcast conversation with special guest JP Hill III, Chief Information Security Officer (CISO) at Secutor, as we discuss the importance of combining vulnerability mapping with data mapping to protect your organization from data breaches.
File hygiene is a constant struggle today. Companies try to stay vigilant and delete "dirty" ROT data but that's impossible if they don't KNOW their data. To truly optimize enterprise data and keep it healthy, organizations must know what data they have, how old it is, what sensitive information it may contain, where it is being stored, and who has access. And automation is the only way to improve data health in a scalable way, as the data continues to grow and change. Enter Aparavi. Aparavi, The Data Intelligence & Automation Platform empowers organizations to know their data, so they can make intelligent decisions about its disposition, at scale, without complexity.
Did you know that ROT data (redundant, obsolete or trivial data that has no real value to the organization) is costing you more than 60% of your total storage expenditures? Once you clean away this dirty data, you can not only reduce your enterprise storage costs, but also decreases data risk, improves application performance and makes it easier to find and protect business critical information. Aparavi's recommendations to tidy up your IT infrastructure, so you can make 2021 the year to get your enterprise data under control. Listen to this podcast to find out how Aparavi can benefit your organization by reducing your data footprint and decluttering your enterprise data across multicloud, core and endpoints.
Storage vendors purposely build storage appliances that typically have a three-to-five-year refresh cycles. As a result, data has to constantly be transferred and reformatted to keep up with technology. But throughout hardware updates, the ability to know and access data is paramount. So how can you simplify processes and add data intelligence to the storage hardware lifecycle? In the latest podcast, we'll tell you how Aparavi can help!
State and Local Governments have Petabytes of unstructured legacy data, which only keeps growing, and no comprehensive system in place to search or manage that data. Today there are solutions that can automate the lifecycle of unstructured data and simplify the process of data governance, but there's no time to waste! The likelihood and implications of a data breach continue to grow exponentially, and states adopt new data privacy laws and hold organizations to higher standards of cybersecurity enforcement. This podcast explains how Aparavi helps government entities:
Simple tasks like finding data is a daunting task today due to data silos. According to IDC, workers spend 36% of their day looking for and consolidating information which translates to $5.7 million annually wasted by employees searching and not finding the correct file, and recreating existing content. Listen to this podcast to learn how Aparavi provides an immediate “Day One” ROI with its enterprise search features, by saving your organization millions in administrative time and freeing up your employees to work on more complex and more pressing issues.
Knowledge is power. And knowing your data is a the key to a successful data migration and integration post-M&A. Assessing the value of the new data up front can save space, time, and money. Aparavi, The Data Intelligence and Automation Platform, can provide your team with this knowledge before you blindly copy it all over, so you run into fewer issues that slow down the data integration process, and accelerate the synergies that come with a merger. Aparavi helps you know your data, before you add more unknown or dark data to your data set.
How many times have you heard "Storage is Cheap?" This "storage is cheap" mentality has been the norm for 10 years, but it's an illusion! There's actually a lot that goes into housing and managing that data storage. In this episode, we debunk the myth that "storage is cheap," and let you in on storage vendors' best kept secret: all the hidden fees that that result in storage costs of $3.2 million per PB per year! From there, it's easy to see that buying more storage isn't the answer to good data management. Finally, we'll discuss how Aparavi, The Data Intelligence & Automation Platform, makes it easy to optimize your storage arrays with automated migration by policy!
Data collections and processing is a major bottleneck for eDiscovery services companies and law firms, because it can waste time and money on gathering all potentially relevant data, uploading it, processing it, and then reviewing it in an eDiscovery platform to cull the data down to the most relevant data set--sometimes only 1% of the initial data set! So what was the other 99%? It consists of files that were irrelevant to the case, but met the parameters of the information request (in terms of date range, custodian, or other factor).
The process of Pre-Collection can save organizations thousands of dollars in legal document review, however, because it reverses the process. Instead of collecting all potentially relevant data and reviewing it in the eDiscovery platform, Pre-Collection allows you to narrow down the data set at the beginning of the case, without even moving the data! With Pre-Collection, Aparavi removes roadblocks to data access and reduces time to insights, so you can start reviewing the case sooner and smarter.
In this episode we discuss how conducting Pre-Collection in The Aparavi Platform removes roadblocks to eDiscovery review, to expedite the legal review process and dramatically reduce costs.
As enterprise data sets continue to grow, how can you overcome data sprawl and data silos to find the information you need, quickly and efficiently? To manually search each storage repository for the correct file is time-consuming. You may even need to pay egress fees to retrieve data, that later turns out to be irrelevant or mislabeled. Aparavi brings together all your corporate data (whether cloud-based, hybrid environments or within a network) into a single user interface that anyone in the organization could use to search the context and metadata of your enterprise unstructured data quickly and efficiently.
For more information or to request a free Data Audit Risk Assessment, visit www.aparavi.com today.
Data intelligence and automation plays a pivotal role in the identification and assessment of data before, during and after mergers & acquisitions (M&A) deals. This podcast presents a brief case study to demonstrate how Aparavi enables automated decision making, which is the key to integrating a massive amount of data into a main domain while adhering to data retention policies and compliance regulations. For more information or to request a free Data Audit Risk Assessment, visit www.aparavi.com today.
Collecting data to respond to document requests is time consuming for corporate teams, especially when you rely on other departments to compile the data, or data silos require you to search through multiple data repositories for the files. In addition, in-house legal departments must manage outside counsel, vendors or a team of document reviewers, without much transparency into the process, leading to costs that can quickly skyrocket.
Data Intelligence and Automation can help enterprise-level organizations reduce their Document Review and eDiscovery costs, by giving legal teams the control and visibility they need to collect documents, implement legal holds and respond to document requests--without relying on the IT department or outside vendors.
To find out how Aparavi can reduce your in-house legal costs, listen to this episode, and visit www.Aparavi.com today.
The Covid-19 pandemic has greatly increased the number of remote workers, creating a workforce that is more distributed than ever, and even more susceptible to data breaches. In addition, with more time spent at home, consumers are more likely to initiate data subject access requests (DSARs) or other information requests under the GDPR, CCPA, HIPAA, FOIA or other mandates. Those employees responsible for responding to the requests, however, are frustrated by lack of access or visibility into files containing Personally Identifiable Information (PII) or Sensitive Information across the enterprise.
That's where Aparavi comes in. Aparavi's automated classification engine can quickly scan and identify any metadata or content pertaining to COVID-19, HIPAA, GDPR, CCPA or any one of our 140+ pre-built classification policies, no matter where it lives across your enterprise's storage landscape (core, cloud or endpoint). Using The Aparavi Platform as a search engine, employees can easily create powerful search queries or customized classification policies to find the information they need and quickly respond to information requests, ultimately saving the business time and money, and increasing efficiency.
Visit us at www.Aparavi.com for more information about how we help with GDPR or HIPAA compliance.
HIPAA compliance is becoming increasingly problematic, because patient healthcare data is the most sought after by hackers, and it is the most vulnerable to cybersecurity attacks. According to the Ponemon Institute, 54% of healthcare vendors have experienced at least one data breach exposing their protected patient data. Of those who had experienced a breach, 41% had experienced 6+ data breaches over the past two years. Most alarmingly, an average healthcare data breach costs $2.75 million (more than any other industry) and exposes nearly 10,000 records.
With 140+ pre-defined classification policies, Aparavi will find any unstructured data file in your organization that may be subject to HIPAA, or other regulations that your organization is subject to. In addition, you can easily locate specific files by searching patient name, ICD-10 code, medical record number, social security number, insurance policy, data containing COVID content, and much more.
Aparavi, The Data Intelligence & Automation Platform is here to help you:
In this episode, we discuss five of Aparavi's powerful pre-defined classification policies that should be enabled by every single client to better protect their organization, specifically:
These 5 policies in particular should be a standard for every organization, so your team can find sensitive data, allow decisions to be made to protect that data from unauthorized access, and empower them to proactively identify harmful files that pose compliance or security risks.
The Dodd Frank Act and other government regulations, like Sarbanes-Oxley (SOX), the Gramm-Leach-Bliley Act (GLBA) and the Fair Credit Reporting Act (FCRA) impose many restrictions on financial institutions, including which documents must be retained and for how long, and additional safeguards for consumer private information. Financial institutions continue to be hit hard with fines for violating these laws, to the tune of $36 billion in the last ten years. There has to be an easier way for companies to automate the classification of their unstructured data to meet regulatory standards and avoid millions in fines.
In today's episode, Darryl Richardson, Aparavi's Chief Product Evangelist, explains how Aparavi's out-of-the-box, pre-defined classification policies can help banks, insurance agencies, mortgage brokers, lenders and other financial institutions:
