Intelligent Multi-Cloud Data Management with Aparavi

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.

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.

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: Visualize the entire unstructured data landscape to eliminate data silos Reduce the risk of data breach Protect personal and sensitive data with intelligence and automation

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!

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: Protect your patients' confidential and private information Comply with healthcare regulations like HIPAA and Avoid serious fines and penalties

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: Authentication (to detect saved passwords or credentials) CJIS (to detect criminal records) Ransomware (to detect 6,000+ known ransomware extensions, automatically updated with our cloud-based platform) Ethics & Code of Conduct (to detect communications that violate corporate codes of conduct) IP Address (to detect IP addresses that may provide a gateway for hackers) 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: Find what they need when they need it across any location; Comply with financial regulations; Automate data retention policies; and Protect their customers personal financial information.

Managing data can be an overwhelmingly tedious and complex process. Too many companies are facing massive data sprawl and an abundance of outdated or trivial data, which makes it difficult to keep track of your files and find what you need when you need it. How can enterprise-level organizations effectively manage the gargantuan volumes of data they store, often across many disparate locations? We explain how intelligence and automation help.

As data privacy legislation expands, the process of responding to regulatory requests can be very tedious, time-consuming, and frustrating without the right tools. In today's episode, we look how you can find data in response to DSAR (data subject access rights) requests or other GDPR requirements. How can effective data management make it easier to find the right files? What are the best ways to keep on top of ever-evolving data privacy legislation?

In this series, we've been taking you through the EU's GDPR compliance checklist, how you can address each step of the list, and how to make compliance easy with automation and intelligence. In our final part of the series, we look at what is arguably the most important section of the checklist: privacy rights. What are best practices for handling the data you're collecting and making sure it's protected? We'll explain how to understand and manage your data privacy to ensure compliance with the GDPR and similar legislation.

In this four-part podcast series, we're looking at the European Union's guide to GDPR compliance and taking you through a step-by-step checklist. In this episode, part three, we look at the accountability and governance stage of the EU's GDPR compliance checklist. What steps should your company take to comply with the GDPR and other data privacy laws? How can you make those steps easier? Stay tuned for the final installment in our series, released next week.

In our GDPR Compliance Checklist series, we're delving into the EU's guide to preparing your company for compliance with the GDPR and other data privacy legislation. Last week, we addressed lawful basis and transparency. Missed it? Listen now. In the second part of our series, Darryl Richardson and Beth Winters discuss the data security stage of compliance, what this entails, and how to easily make your way through these steps. Subscribe to the podcast or visit us at aparavi.com to follow along with the rest of the series.

The European Union's General Data Protection Regulation (GDPR) took the business world by storm when it went into effect in May 2018. Organizations around the globe have had to implement significant changes to their data management strategy to avoid steep fines. Today, many companies are still working toward complete GDPR compliance while also shifting their strategy to address emerging data privacy legislation like California's CCPA. In this four-part series, Aparavi's Darryl Richardson and Beth Winters walk through the GDPR compliance checklist outlined by the EU. This episode zeroes in on the first stage, lawful basis and transparency. Darryl and Beth explore the steps included in this stage and how you can address these steps easily and effectively to comply with the GDPR and other data privacy laws. Stay tuned for parts two through four addressing the remaining stages of the GDPR compliance checklist.

Data privacy regulations like the California Consumer Privacy Act (CCPA) and General Data Protection Regulation (GDPR) grant your customers and employees the right to request access to their personal information in the form of DSARs (Data Subject Access Requests), also sometimes referred to as DSAR Requests (Data Subject Access Rights Requests). Handling these requests, though, can be a major burden, especially in the face of data sprawl and limited insight into your files. In this episode, we look at DSAR requests and their significance in relation to data privacy legislation like the CCPA and GDPR. We explain how data intelligence and automation can can help expedite these requests so you can remain compliant with data privacy laws and avoid expensive fines.

In this episode of The Aparavi Podcast, our special guest Tony Gaughan, CTO at RStor, joins Darryl Richardson for a conversation on optimizing cloud storage and reducing its costs. They discuss the evolution of cloud storage, solving the problem of ROT data, why RStor's storage solution is unique, and how smart policies can streamline data movement and cut costs.

The California Consumer Privacy Act stirred up many organizations' approach to data privacy when it went into effect earlier this year. Now, those businesses may need to rethink their data management strategy once more, thanks to a new measure on November's ballot. In this episode, Darryl Richardson and Beth Winters discuss the California Privacy Rights Act of 2020 and its corresponding ballot measure, California Proposition 24. Which data is regulated by these acts? How will the CCPA change if this measure passes? What do you need to do to prepare? We answer your burning CPRA and Proposition 24 questions.

Single-tenant architecture has dominated SaaS technology for years, but as the industry evolves, multi-tenancy is proving to be increasingly important and beneficial. In this episode of The Aparavi Podcast, we examine what multi-tenancy means for software, how single and multi-tenant models different, and which businesses can take advantage of multi-tenancy. We also look at how Aparavi's multi-tenant platform makes it even easier to reduce costs and keep your data under control.

Aparavi Chief Product Evangelist and podcast host Darryl Richardson is joined by attorney, data scientist, and technologist Paul Starrett of Starrett Consulting, as well as recovering attorney and Aparavi Solutions Marketing Manager, Beth Winters. They discuss the data privacy laws that may be affecting your organization, the growing risk of data breaches, best practices for compliance, how personnel structure is shifting, and why automation revolutionizes data management.

As enterprise data grows at an uncontrollable rate, many are spending upwards of two hours a day simply searching for files. Why is this process difficult? How does The Aparavi Platform's automated classification capabilities make finding data easier than ever, no matter where it's located? And how does our classification tool differ from other applications in the market? We address these questions in this week's podcast.

IT budgets today are soaring, with most business devoting 5 to 30% of their total annual expenditure to IT. What are the problems with the typical approach to IT spending? How can SaaS applications help companies slash costs across the board? And how will a data intelligence and automation platform reduce storage costs, avoid fines, and discover the true value of your data? In this episode, we take a look at how Aparavi can help your organization save money immediately. We break down specific data management costs and the ROI you can expect to see with Aparavi.

Personally identifiable information, or PII, may seem like a relatively straightforward concept, but we've seen a variety of conflicting definitions floating around, as well as confusion over which data types are actually considered PII. In this episode, we look at the definition of personally identifiable data, discuss which data falls under the category of PII, explain the difference between personal and sensitive data, and share how The Aparavi Platform handles PII.

The Electronic Discovery Reference Model (EDRM) outlines the e-discovery process and provides a framework for handling legal requests. However, many organizations that use the EDRM still find that managing requests for public records, legal documents, and other electronically stored information can be incredibly time consuming and expensive. In this episode, we explore the EDRM by looking at its four pillars and nine stages. We explain why many current tools fall short in effectively managing data and share how The Aparavi Platform can fill in important gaps to save both time and money.

Since the California Consumer Privacy Act went into effect in January, it's protected consumers against misuse of their personal data, but it's also forced many organizations to rethink their approach to data management. What is the California Consumer Privacy Act? What rights does it give consumers? Which organizations need to be CCPA-compliant, and what are the consequences for those that are not prepared? In this episode, we answer these questions and examine how The Aparavi Platform streamlines CCPA compliance with automation.

Over the past few years, we've seen a slew of new data privacy policies aimed at protecting consumer data. The European Union's General Data Protection Regulation, perhaps the most significant privacy legislation, went into effect two years ago. Adhering to GDPR's complex requirements and handling requests are new challenges that many organizations have struggled with since the regulation was first introduced. In today's podcast, we take a look at what GDPR is, what it means for organizations, and how Aparavi streamlines GDPR compliance.

Defining an effective data governance strategy can be a major obstacle for many organizations. In today's episode, we examine the primary challenges of data governance and delve into common misconceptions about the process. Then, we explore why proactively implementing a data governance tool is so essential to your organization.

Finding data has always been a tedious process for most organizations. Finding the right file can be like finding a needle in a haystack, or, in today's enterprise world, a few hundred haystacks. In this episode, we talk about why finding data is so difficult, what processes and tools can make finding files easier, and how The Aparavi Platform can help you find data quickly.

As data continues to grow at astonishing rates, most organizations don't know what data they have, how much it's costing them, and what risks this data may create. In this episode, we take a look at why compliance applications matter to the typical enterprise. We explore the data challenges most organizations face and share how Aparavi addresses these challenges.

The average cost of corporate litigation has skyrocketed over the last decade. How can you reduce these costs so they don't damage your organization? In this episode, we discuss why a proactive approach to your data is essential and how a data lifecycle plan will help you stay ahead of the curve when it comes to legal requests.

During this global pandemic, a corporation's security and integrity should be leadership's top priority. Aparavi's Chief Evangelist Darryl Richardson explores the importance of corporate compliance in these difficult times and discusses how to prepare for a surge in FOIA and subject access requests.

Exponential data growth costs organizations a fortune to hold and manage and creates chaos and governance exposure. But it also creates incredible opportunity to utilize data for insight and profit. Current data management solutions are part of the problem – not the solution. Join Darryl Richardson, Chief Evangelist at Aparavi, as he discusses the data challenges, best practices, and opportunities when faced with data growth, data governance, and data compliance demands.

Unstructured data is the fastest-growing segment of data within most enterprises today. This data set contains the creative output of the organization's employees as well as unique data captured by sensors and machines. Unstructured data is large in terms of capacity and number of files. It is also the prime target of ransomware. Organizations are paying hefty ransoms to regain access to their data. Protecting unstructured data is challenging. Most organizations can't protect it frequently enough, and are unable to restore the data quickly enough. The problem is most data protection solutions are protecting unstructured data incorrectly. Data protection vendors count on image-based backups to bypass issues associated with high file counts. Image-based backups, however, sacrifice the granularity required to meet regulations like GDPR and detect ransomware. Being able to see inside all those files being saved, in order to either make intelligent decisions about the data or to put it to use in another way, is a critical new requirement for organizations. Join Storage Switzerland and Aparavi for our live webinar to learn how to improve your ability to protect unstructured data while at the same time gaining insight into it.

Aparavi’s VP of Business Development, Jonathan Calmes and GigaOm’s Senior Data Storage Analyst, Enrico Signoretti, recently co-presented a webinar about how the right data management practices and intelligent archives can boost the value of data and make it reusable for new applications. Topics included: Understanding data growth and diversity Transforming a liability into an asset with classification and search How to build efficient intelligent archives for data reusability Applications that can benefit from data reusability

Think backups will have you covered if you need to recover your data for legal or compliance purposes? Think again! In our recent TruthinIt discussion with Mike Matchett, Principal Analyst of Small World Big Data, our CTO Rod Christensen explains how to reduce risk when it comes to compliance and get the most out of unstructured data archives. Learn how Aparavi’s open data format can enable e-discovery solutions to read data without having to retrieve it from multiple storage locations.

Where do backups and old school archiving of formatted records (structured data) fall short in today’s big data world? What are the common and new use cases for an unstructured big data archive? How can we manage the scale of overwhelming unstructured data growth? And…how do we wring all the value out of that data? Listen to our short interview by industry leader Mike Matchett with Aparavi’s CTO Rod Christensen.

Regulations like the European Union’s General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act (CCPA) are requiring organizations to rethink their data. In “Talking GDPR and CCCA,” Storage Switzerland’s George Crump and Aparavi’s Jon Calmes discuss: What IT should be concerned about when it comes to GDPR and CCPA How these regulations affect current data protection retention applications What your organization will need to change to remain compliant with GDPR and CCPA

GDPR has dramatically shifted the way we should be thinking about data management. Specifically, the Right to Be Forgotten poses an interesting challenge for your data archives and backups. GDPR is not the only regulation that pokes a new potential hole in your data protection strategy. Many states and even the federal government are looking at similar regulations. The time has come to plan for data privacy in our data management. In “Data Management vs GDPR and Data Privacy: How to Solve the Right to Be Forgotten Problem,” George and Victoria discuss the new problems caused by GDPR for your data management.

Truth in IT’s managing editor David Littman hosts IT Analyst Mike Matchett of Small World Big Data and our VP of Business Development Jonathan Calmes in a conversation about the challenges of managing unstructured data – capacity growth, protection, accessibility, especially in environments with both cloud and on-premises storage. Truth in IT – “because video is the new whitepaper” – features unbiased informational and educational tech content in a digestible and dare we say entertaining format. We appreciate the chance to participate and hope you find it valuable.

Aparavi VP of Business Development Jon Calmes and Storage Switzerland Analyst George Crump. discuss the new problems caused by growth in unstructured data and why it needs new solutions. George has written extensively on unstructured data protection, and we highly recommend taking a listen. He says unstructured data is frequently the most important information asset an organization can have, so traditional/legacy backup approaches aren’t good enough anymore.