Enterprises that are effectively letting go of their traditional business processes and innovating proactively have earned a prefix. They have come to be known as ‘intelligent enterprises,’ as per the new nomenclature of the disruptive age.
However, the point of interest is — what about these enterprises really click? What sets them apart from the have-beens and also-rans in the industry? Is it their focus on reinventing their business models to grow with the new world? Or, is it their mastery over acquiring agile, automated capabilities through ongoing innovation? Or, is it the fact that they don’t let data waste become the defining factor?
Forget Digital. It’s Time to Be Intelligently Digital.
Today’s business climate is digitally charged and, competition is at an all-time high. The shape-shifting innovations are being spun at a frenzied pace, so much so that if enterprises don’t evolve, they are certain to vanish without a trace. There is a new crop of startups who are innovating better, faster, and smarter than established mid-market counterparts.
As customers become acquainted with new advancements, their expectations are becoming increasingly sophisticated. They expect to be wowed at each point of their interaction. In order to deliver superior customer experience, companies must adjust to geo-political shifts, such as Brexit, the Middle East uprising, and other external stressors that affect market conditions. However, the going is extremely tough for companies, which are still reliant on legacy systems, slow to embrace the evolved world, and scrambling through cost burdens.
To survive the digital paranoia, it’s important that organizations must continually strive to achieve new levels of agility for seamless innovation and on-par market growth. Illuminating their way forward is a new array of digital technologies, which happen to be a strong cementing factor for intelligent enterprises.
New World IT: The Core of Intelligent Enterprises
The underlying winning formula of intelligent enterprises is their automated, real-time action on fast-moving data. An intelligent enterprise is uniquely positioned to deliver deeper insights, empowering decision-makers to tap into a broad range of data and quickly assess key performance indicators and future risks. When combined with new-age technologies, such as Artificial Intelligence, Machine Learning, and Big Data, these insights can be maximized to optimize existing operations and create new business models of efficiency and future-oriented growth.
Data warehousing technology is an important catalyst in driving smart and efficient data management for intelligent enterprises. Data warehouses aggregate, extract, convert, and combine data for business intelligence needs. Machine Learning and Artificial Intelligence generate measurable analytics that empowers faster, real-time innovation with fewer risks, thus facilitating operational efficiency and better customer service.
How Are Intelligent Enterprises Driving Business Outcomes?
Intelligent enterprises aim for holistic transformation while prioritizing both agility and stability. They explore the smartest ways to capture growth while curbing costs and maintaining vigilant control on resources. They leverage data, anticipate needs, adapt to change, and innovate.
Let’s explore a few examples of how some intelligent enterprises have used their digital approach to achieve strong differentiation and deliver sustainable gains. Take a look.
a. Accelerating by Simplifying Application Development
Enterprises using systems based on disk storage and relational databases for processing their data fail at the first hurdle when it comes to business intelligence. These systems are relentlessly slow and complicated, resulting in sluggish reporting and high-latency business decisions. On the contrary, intelligent enterprises rely on in-memory computing, a breakthrough technology that stores both analytical and transactional data on server databases while eliminating the need for separate data stores and endless data sprawling. This helps organizations in enabling real-time data processing for swift decision-making and reducing time-to-value.
b. Fuel Performance with Insights
Without data, efforts to achieve rapid growth lie flat. Intelligent enterprises take the writing on the wall seriously and leverage their data for competitive advantage. They invest in data platforms that enable next-generation data processing and unlock real-time insights, providing a 360-degree view into operational chains. This helps enterprises consistently monitor service standards and prevent anomalies before they occur. It also empowers them to make instant, qualitative decisions at scale while ensuring complete compliance to risk controls.
c. Drive Innovation
With innovation rolling out in spades, staying relevant is more important and challenging than ever before. The use of data platforms helps intelligent enterprises innovate at a foreseeable pace and enables rapid returns on digital investments. These systems allow accelerated insights and high situational visibility, which provide greater freedom to identify and act on risks and opportunities and drive high-quality business outcomes with precision.
These platforms feature prepackaged in-database services for recurring data processing that streamlines application development and innovates performance. The support for both hybrid and multi-cloud environments helps enterprises develop once and deploy everywhere.
d. Deliver Best-in-Class User Experience
Data platforms have empowered intelligent enterprises with the ability to maximize data and glean real-time insights for real-time user analysis. Using actionable intelligence, they analyze behavioral patterns, anticipate needs, and create offerings that deliver a best-in-class user experience. This culminates in new revenue streams, faster customer growth, and consolidated brand value.
e. Harness the Power of Data to Provide the Right Information
While most enterprises understand the implications of data trapped in silos, they are often blind-sighted by the problems associated with data lying across multiple clouds. When data exists everywhere, it impedes access to the right information at the right time. Security breaches and risks from a lack of governance, such as a GDPR violation, highlight other major challenges. Intelligent enterprises have vastly standardized information access through the adoption of data platforms as their core technology. They have successfully eliminated the complexity of data accessibility by making the whole process instant, accurate, compliant, and reliable.