The 5 Ways Businesses Are Improving Their Data Management

data management

The 5 Ways Businesses Are Improving Their Data Management

A growing number of businesses have begun the process of digital transformation in a bid to leverage the full potential of their digital infrastructure and achieve greater financial performance.

This transition presents businesses with a number of opportunities to add efficiency to processes, improve scalability and effectively modernize their organisation. However, a number of companies struggle to effectively manage this transition, particularly when it comes to the management of their data.

Luckily businesses have a number of strategies at their disposal to help improve the way they manage and handle data. Here are the five intelligent ways businesses are improving their data management.

Data Management & Structuring

Too many organisations place emphasis on collecting and storing data, but this offers little utility to businesses seeking to gain a competitive advantage, as they usually have no efficient way of using it. By structuring data, businesses are able to utilise data beyond storage and provide actionable insights for managers and employee users.

A 2015 report from McKinsey global found that leading organisations that utilised a data management strategy were twice as likely to generate above-average profits and twenty-three times more likely to successfully acquire new customers. By developing a data strategy and system that allows for the collection, storage and processing of data in real-time, businesses can improve their data management in a way that provides quantifiable results.

Elastic Data Migration

As more businesses opt to upgrade their data storage systems, move to hybrid/cloud storage and use public and private clouds, the need for cost-effective, efficient data migration solutions has continued to grow.

A number of organisations have been able to pre-empt this shift by investing in elastic data migration solutions. Elastic data migration uses multiple machines to parallelise data, allowing businesses to identify critical data, speeding up the migration process and minimising the amount of stress placed on their network.

Intelligent Data Management Architecture

Data management architecture gives businesses an IT framework for the company’s digital infrastructure and details how it will gain, deliver, store, categorise and secure all organisational data. The goal of intelligent data management system to store and scale it in a way that doesn’t inhibit users from accessing vital information, documents or programs. While nearly all businesses with a significant digital infrastructure investment will have data management architecture developed, poorly designed architecture can create a whole host of problems for businesses. To solve this, more businesses are switching to intelligent data management practices and software investments.

Emphasising Integration

While organisations have been placing a large emphasis on data collection and storage, many have forsaken utility due to their failure to emphasise the importance of data integration. As a result, companies are frequently left with more data than they know what to do with, which places significant strain on their storage centres and networks.

Companies have improved this area of their data management by fully considering the importance of integration through detailed data planning and investment into integration solutions matched to fit their needs.

Investing in an Integrated Data Management Platform

To realise these benefits, market leaders have adopted data management tools and solutions that align to their overarching data management strategy, helping them to plan, structure, manage, and integrate data from disparate sources in a way that grants greater access to users and achieves better organisational performance.

Integrated data management platforms offered by organisations like Komprise provide instant data insights across all NAS and Object data silos, being equipped for both onsite and cloud data management. Komprise intelligent data management helps businesses utilise dynamic data analytics, seamless data migration technology and direct data access thanks to the platform’s inbuilt data architecture development, elastic data migration capability and ability to integrate with a number of different cloud platforms.

Is your business ready to improve the way it manages data?

If you’re interested in implementing a data management solution for your organisation, get in contact with the IDS team today.

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