Manage your data intelligently – Use the Power of Data Analytics
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Introduction
Data analytics is not just about numbers and graphs. It is a process through which you can use your data to make better decisions for your business. Data analytics helps businesses make faster and smarter decisions to stay ahead of the competition. These decisions are made in areas such as sales and marketing, customer service and feedback, production management etc., which enable an organisation to do business better.
Organisations need to have intelligent data management systems, policies and processes for their IT infrastructure to ensure that business applications run as smoothly as possible and without interruption and can support business decisions. The key from an IT point of view is to provide the right analytical intelligence to help drive operational decision-making within the IT team and as a result strategic planning decisions by corporate executives, business managers and line of business users. Its goal is to identify actionable information that can be used to make decisions or solve problems by leveraging the massive amounts of structured and unstructured data available today. The job of data management process, combined with the systems and people is to provide the function that aim to make sure the data in corporate systems is accurate, available and accessible.
Manage your data intelligently
So why is it important? – simply put, to discover useful information (insights) and/or predictive models. This can be used for analysis of past performance to predict future outcomes and to analyse current challenges and make better and smarter decisions.
Businesses that use data analytics are able to understand their customers more accurately than they could earlier. For example, they can understand the demand trends and make predictions about future demand patterns. This may even help them in launching new products and adjusting their IT strategies to meet the needs of the business as well as demands from the customer base.
Organisations are facing explosive growth in unstructured and structured data from all sides – and they are increasingly expanding the number of silos and classes under management. As a result, many organisations are employing a mix of private cloud object storage, public cloud file and object storage, and disk-based solutions. Additionally, organisations are using a hybrid cloud architecture to provide them with all the features of native cloud solutions.
This is where having the right data analytics and an intelligent data management system comes in. Having the right intelligent data management system can help you achieve this by:
- Providing the data analytics, you need now and for the future
- Managing your data intelligently
- Optimising/reducing your data management costs.
To achieve this, storage management systems’ need the intelligence and flexibility many organisations demand without a vendor lock-in. These solutions are described as data management rather than storage management.
One of the leading solutions to consider is the Komprise Intelligent Data Management Platform. The Komprise solution not only provides the right analytics allowing you to make the right business decision, it also gives organisations transparent access to tiering that teams can control with user-defined policies. It allows ‘cold’ data to be automatically moved to cheaper or slower storage – while ‘hot’ data is retained in faster storage for rapid access.
The case for independent data management
Today, many organisations are turning to independent data management solutions that can help them by automatically analysing, understanding, and moving data to the most appropriate tier – no matter if the storage is a mix of vendor technologies or cloud-based systems. Modern Data Management Solutions such as those offered by Komprise enable data to move in the background without changing the availability or access to that data for users, applications, and systems. All of this smart data management means that users and applications alike see no change in the file structure. Their data is right where they expect it to be – yet the organisation saves considerable resources by leveraging the most efficient storage architectures.
Komprise is a natural choice when it comes to Deep Data Analytics
Komprise Deep Analytics delivers granular, flexible search and indexes data in-place across file, object and cloud data storage to build a comprehensive Global File Index that can span petabytes of unstructured data.
It does this by:
- Providing one global file index across the cloud – Komprise creates a single Global File Index across all your file, object and cloud storage so you can query and find just what you need in minutes across all your silos.
- Feeding your cloud analytics, cloud data lakes and warehouses – Moving petabytes of data to the cloud is slow and costly. With Komprise you just move the precise data your users want to analyse and feed your data pipelines with AI-ready data for data lakes, machine learning, cloud analytics or a cloud data warehouse initiative.
- Efficient Indexing – Unlike traditional analysis solutions that leverage monolithic databases and expensive in-memory resources, Komprise creates a lightweight distributed index that scales to exabytes with minimal footprint.
- Intuitive policy-based management – Easy-to-use interface to define criteria and view search results through summary graphs and details.
- Tagging and API – Define tags and search using both standard and extended (tag) metadata. Access via both the intuitive user interface and via an API.
Deep Analytics further extends the powerful analytics that Komprise already provides with a fully searchable index of all the data. This enables users to easily find specific data sets across billions of files. You can now search and find relevant data easily and with more granularity. Users can create custom queries to find the data, then tag them with custom tags to assemble virtual data lakes. For example, users can now create complex queries, find (and tag) specific projects, identify types of cold data, find orphan data, search for data owned by specific users, and more. It enables new uses of the data, such as for big data analytics and AI/ML applications.
Conclusion
Data analytics helps you manage your data intelligently by helping you make the right decisions at the right time. It is an important tool for business growth. It helps you make better decisions and understand your customers in a better way, thus helping you optimise cost as well as positively impacting profits.
Hence it is important as the key driver behind managing your data intelligently.
Solutions like Komprise are leading the way and are resulting in companies seeing not just significant cost savings but using the analytics to make better business decisions.