Samit Mandal, Business Leader, Information Integration & Governance, IBM Analytics, ASEAN
Data&StorageAsean: Why is managing data through its life-cycle becoming so important?
Samit Mandal: Information Lifecycle Governance (ILG) helps you manage your business information throughout its lifecycle from creation to deletion. It addresses the problems that challenge records management, electronic discovery, compliance, storage optimization and data migration initiatives. By providing in-depth assessment of unstructured data where it resides, on-premises or in the cloud, these solutions give organizations visibility into data to make informed business decisions. With information lifecycle governance solutions from IBM, you can discover how your organization can effectively manage the information lifecycle and avoid costs and risks to drive more business value from your data.
Data&StorageAsean: Is the term data life-cycle management just a glorified name for archiving?
Samit Mandal: No, information life-cycle management is critical, encompassing a lot more than just archiving. Namely:
Protecting data - finding and securing sensitive personal data, credit card data, and any personally identifiable information on their systems and doing their best to prevent or respond to data breaches is a top concern for any company
Meeting compliance mandates -- regulatory compliance, country-specific mandates about data, retention rules set forth by governments, and jurisdictional mandates force the need for strong governance practices.
Preparing data for litigation response- understanding what data needs to be included in a matter, where it resides, notifying the custodians, issuing the legal hold, and seeing the matter through to completion is an extremely complex process that demands an elegant solution.
Reducing the inherent cost of storing and managing data - “Storage is cheap” is not always the answer. Pushing your data to the cloud is not the answer either. Governance is required across any and all storage options. There is also risk implied with maintaining data past the time that you are required to.
Driving and discovering value from data- driving innovative projects, customer insights, and analytics from the data that you collect and store is increasingly required. The old adage “you get out what you put in” applies here though—companies need to be able to trust the relevant set of data they are working with is the best data and that it will steer them in the right directions.
Data&StorageAsean: With cloud, mobility and data-driven business, are the challenges of data life-cycle management becoming more complex?
Samit Mandal: Smarter content means analyzing not only the structured data that companies store in hierarchical databases, but also the unstructured data that exists in almost every facet of the enterprise -- communications, email, business collaboration sites, and social and mobile aspects. Today, unstructured data makes up 90% of an organization’s business data and is projected to grow at a compounded annual rate of 60%. A grave and costly mistake the enterprise may fall victim to is convincing itself that the enterprise fully understands the data it possesses. It can represent a massive untapped resource for your enterprise that could be driving insights and real business value. Conversely, it can represent a pool of data that can leave you open to risk, litigation, and is subject to regulatory compliance.
Unstructured data takes on different forms and lives in many different places. Hundreds of formats include documents, emails, wikis, chat rooms, social media, LinkedIn, Facebook, and instant messaging, just to name a few. This data can reside in dozens of locations - content management systems, collaborative sites, file shares, desktops, mobile phones and tablets - both on-premises and in the cloud. And more often than not, no one has a view into what is worth keeping, what is redundant, obsolete, or trivial, or what data is exposing the company to risk, fines, or litigation.
Data&StorageAsean: With the amount of data we now create, how do businesses decide which data to manage? Is there anything unique about your Data Life-cycle Management solutions?
Samit Mandal: Our advice to clients is that lifecycle and governance is multifaceted. IBM's Information Lifecycle Governance (ILG) solutions include these five key areas which needs to be followed for businesses to decide which data to manage:
Data assessment and cleanup- The Data Assessment and Cleanup solution helps organizations increase the value derived from data while reducing the costs and risks associated with managing it. Cleanup solution improves information economics through the cleanup of redundant, obsolete, and trivial (ROT) data. It can remediate regulated data according to personally identifiable information (PII), payment card industry (PCI), Health Insurance Portability and Accountability Act (HIPAA), and human resources policies and improve the security of data with high business-value.
Legal - The complexity of the legal process and proliferation of point solution products used today make the eDiscovery environment overly complex. Mixing and matching different vendor solutions along with homegrown IT efforts leads to missed steps in the process, uninformed decisions, manual errors, and a general mistrust of the data produced for a legal matter. An overly inclusive approach to litigation response can create high downstream costs for attorney review and production. Over-collection and duplication are challenges in identification and collection of electronic information. For example, many corporate cases are settled prior to the collection process. If no insight is available into the data associated with a case, then a settlement could be made with little to no information regarding the actual merits of the case. When a case does go through the collection process, most corporate legal departments must wait until after collection to identify relevant data and understand the magnitude of this data. By identifying and targeting only the information that is most relevant to a particular case through better insight into enterprise data earlier in the process, these teams can reduce the cost and efforts involved in eDiscovery response, and decrease the volume of unstructured data. For example, IBM StoredIQ for Legal helps you identify the data that matters and only that data - bringing the volume of data down to a relevant and manageable set.
Records and retention - The rapid proliferation of digital information requires a transformation of records management. To accommodate rapidly growing volumes of information, comply with regulations and avoid litigation, organizations today need a highly extensible, security-rich records management solution. It must be able to capture, declare, classify, store, and dispose of electronic and physical records.
Archiving - One of the biggest reasons why companies archive content is for eDiscovery response and regulatory compliance purposes. IT departments are struggling with exponential data growth from every corner of the enterprise, which makes it difficult to find, preserve, and organize data, much less respond to requests for content quickly and comply with ever-changing regulations in the global market. Even though a huge portion of the data that enterprises hold onto - an estimated 70 percent - is no longer of any business value, unanswered questions such as who owns it, what’s actually in it, what legally needs to stay and what absolutely needs to go, are preventing positive steps forward.
Curation - We’re counting on big data to uncover trends, create new insights, grow revenue, gain competitive advantage, manage risks, and predict what lies ahead. However, the outcome of any big data analytics project is only as good as the quality of the data being used. Striking the balance between disposing or preserving data - between minimizing clutter and optimizing the potential for insight - requires a deep understanding of enterprise information.
To conclude, data explosion certainly isn’t slowing down, and the need to manage this burgeoning amount of data effectively is absolutely critical. In order to uncover trends, create new insights, grow revenue, gain competitive advantage, manage risks, and plan for the future while still complying with mandates, keeping data protected, and lowering information costs, companies must have an effective data governance plan.
Data&StorageAsean: Is there anything unique about your Data Life-cycle Management solutions?
Samit Mandal: IBM's Information Lifecycle Governance solutions empower organizations to conquer challenges in the crucial information management areas of data assessment, legal and regulatory compliance, records and retention, archiving, and curation. Our ILG tools combine the ability to read, analyze, and react to local and foreign metadata in a dynamic model with distributed processing and cognitive capabilities for real-time governance. Furthermore, in the field of Data Integration Tools, Data Quality Tools, and Data Management Solutions, IBM is ranked in the Leaders Section in Gartner's Magic Quadrants (Sources: Gartner Magic Quadrant August 2016, Gartner Magic Quadrant November 2016, and Gartner Magic Quadrant February 2017, respectively)