Making data accessible for all employees—or, creating a “data culture”—is the vision of Microsoft's CEO, Satya Nadella. And whether yours is a large tech company or a five-person family business, it's also a vision that can increase your business's value. That's because employees armed with data are known to make better decisions, improve customer experiences, and improve your bottom line.
In fact, The International Data Corporation (IDC) says unified data collections and better analysis could save organizations $1.6 trillion over the next four years. And you don't need data scientists or data specialists to make it happen. Here are four tips to help you foster a data culture.
Bring people together
"A data culture isn’t just about deploying technology alone," explains Nadella. "It’s about changing culture so that every organization, every team and every individual is empowered to do great things because of the data at their fingertips." By promoting data sharing through cross-departmental collaboration and communication, your business can remove barriers to effective data usage and enable employees to make better decisions with data that already exists. And for a data-driven culture to succeed, data needs to become everyone's business on a daily basis—not just IT’s.
Not all employees need to have data expertise or be mathematically inclined to recognize trends. "We believe that with the right tools, insights can come from anyone, anywhere, at any time," says Nadella. Concentrating data within a single team limits other employees from digesting data in ways that make sense to them. Besides, information presented in lengthy quarterly reports isn't useful to real-time action.
Equipping teams with data analysis techniques better positions them to dig deeper into data in the long run. Remember that their understanding of their department's specific needs is unmatched by anyone else in the business.
Encourage professional development
In order to make employees more data literate, businesses need to amp up training about how data works, what it means, and what can be done with it. Teaching employees how to sift through data to separate usable information from noise helps them gather insights in real time that can improve business outcomes. Training can come in the form of internal programs run by in-house experts, or external partnerships and professional development courses, whether online or in person.
Ask questions before they get asked for you
When employees are encouraged to ask questions, challenge assumptions, and take action, your organization can get answers faster. And using data to add clarity to decision making, rather than justify past decisions, is the key to successful data exploitation and an improved business. Creating a data culture does come with its challenges, and evolving your organization so that employees across teams have access to data is something that takes time.
When a data culture starts from the top down, it can help get buy-in across the board. Your business leaders will need to encourage questions, be open to experimentation, and even tolerate opposition to decisions being made, as long as there is analysis behind them. "In a data culture, everyone benefits when more people can ask questions and get answers," says Nadella. "In a data culture, the entire effectiveness of an organization can elevate."
My texting language and arts program can be a great success because you can learn a language when texting, this will slow texting when driving also the transcriber will be able to read lost or old languages that are not spoken. A game called text tag you will have to unscramble the number to see who text you, your it.
Truly said; and i have personal experience with it. While working with one if India's top ITeS company, I (was) having access to all types data; we were free to mine through it all time any time and our project was a big success.
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Helping people and businesses realize their full potential.
There is an urgent need to approach data in new ways considering that fact of new scenarios developing and munch of data around. Nowdays data models look as if out of shape. You could say a new recipe for success es needed in our common Business ground. There is a high demand for a cooperative enforcement into enriching results in a broader and effective approach