In the current, hyper-dynamic digital era, it is almost impossible to find an enterprise that does not lean on data routinely to inform business decisions. However, high dependence on data leads to massive data pools, creating silos. These data silos not only prevent data from being accessed and used efficiently but also obstruct knowledge-sharing and collaboration. It is under such circumstances that data collaboration becomes the need of the hour for today's enterprises, where no single entity can complete all the work on its own.
Read on to know why data collaboration is undeniable for savvy organizations to successfully harness actionable data in their ecosystem and deliver revenue and cost-saving potential.
What is a Data Collaboration Platform?
A data collaboration platform is a tool that aids teams in achieving specific goals by allowing them to handle documents, share ideas, and manage tasks. Such a platform aims to improve collaborative efficiency by offering a central system for employees to openly share information, data, and documents to solve specific problems or finish creative initiatives. Moreover, the team members can collaborate from any location on the cloud, stimulating innovation and bolstering work to increase profitability and corporate growth.
What does a Data Collaboration Platform Do?
Piles of raw data that are of little or no use to the end-user fail to help your enterprise climb the success ladder. So, your goal should be to create a data culture in which you figure out a fail-safe way to make that data accessible for professionals to use it creatively and effectively. For this to occur, your enterprise needs a systematic workflow and an efficient data collaboration platform to employ the data persuasively for this to occur.
The few critical elements of any data collaboration platform to make data accessible and of value includes:
1. INPUT-OUTPUT CYCLE
For efficient data collaboration, the enterprise must have an input-output cycle where one data set prompts an action, which kick-starts a process, generating a new data set, which further prompts another action.
2. STANDARDIZED WORKFLOWS
With a set workflow in place, the best data-driven processes can enhance and support the tasks and responsibilities of the data workers who interact with them and simplify the common difficulties they face regularly.
3. EFFORTLESS COLLABORATION
The type of data you use assists the platform in figuring out who your staff will connect with and interact with to do their work more efficiently. And a flexible data collaboration platform allows you to integrate analytics wherever they're needed in the center of those collaborations, helping you achieve maximum success while also improving data harmony.
4. COMPREHENDIBLE INSIGHTS
Data collaboration platforms create easy-to-consume dashboards rather than multi-tab workbooks. These platforms use Artificial Intelligence (AI) to help translate complex data into immediate next steps for data workers who wish to understand the use of a data set. Furthermore, AI features assist users in receiving precise recommendations, allowing them to make faster yet reliable decisions. As a result, advantages such as closing agreements faster or resolving discrepancies with more satisfaction are realized.
Data Collaboration can Inform Your Decision-Making.
Data collaboration or aggregation, a corporate terminology that essentially means gathering and storing data to glean valuable insights, is crucial for decision-making. With businesses collecting and storing tons of data in different ways for innumerable purposes, undoubtedly, data has become a treasured possession that keeps organizations competitive.
But what happens if you take that one-on-one data collection to the next level?
The answer is simple — you invest in a data collaboration platform that connects you with people to share data and make better long-term decisions. An intelligent data aggregation platform will compile data in user-friendly and accessible ways for your employees to pull the information they need and receive it in formats ready for processing.
Such seamless data collaboration benefits your business in various ways by facilitating:
- Efficient engagement for greater results
- Clear communication for smoother and faster relaying of messages
- Improved transparency for fail-proof decision-making
- High security and privacy for increased reliability
- Positive work culture for better collaboration
- Dynamic teams for higher productivity
- Better workflows for reduced turnover
- Clearer vision for maximum success
Make Your Data Collaboration Platform Work for You.
With the increased popularity of data sharing across industries, the need for a data collaboration platform has increased manifold. But instead of having it as an additional expense on the business side or just another system for the workforce to learn and employ, you must ensure that the system works towards fulfilling your business needs.
So, how do you achieve this?
Once you have identified the need to own a data collaboration platform, the next important step before looking for a vendor or service provider is to research the market and determine which kind of data collaboration services will best suit your ultimate business and data goals. Basis your needs, the next step is to figure out which platform best aligns with your requirements and data sharing approach.
Finding the right solution is among the most crucial steps in ensuring that the data collaboration solution works to your advantage. This is because the data you collect must serve a purpose, or else the information it yields can stay dormant until it no longer serves as a valuable resource. So, you must strive to find and use your ideal data collaboration platform to benefit from stimulating data sharing.
Your Hunt for the Best Collaboration Platform Stops at Needl.ai!
The answer to your data collaboration needs is Needl.ai. Needl.ai provides a single source of truth for all data management requirements rather than working with the siloed and fragmented data ecosystem. Our platform brings together popular productivity apps and content sources on a single platform, allowing teams to communicate easily. We use seamless data processing features to provide a unified picture of all unstructured data from emails, chats, notes, files, websites, blogs, podcasts, etc. In addition, our cloud-based data collaboration platform is an artificially intelligent system that provides users with custom feeds.
Rather than manually transferring data, Needl.ai allows users to exchange data with team members based on predefined criteria rather than manually transferring data. With proper access limits, users can create feeds for personal use and share contextual feeds with other Needl.ai users. This relieves team members of the digital burden of needing to share already shared contextual data.
Needl.ai is everything you'll need to build a collaborative, data-intensive enterprise.