Data Analytics Tools Succeed When Biz Culture is Aligned

Does Your Business Culture Support Data Analytics and Data-Driven Action?

Data analytics is not just for day-to-day business intelligence. These days, pretty much every business has some form of data analytics software. If your organization has embraced data democratization, you are probably encouraging business users to use BI analytics and, hopefully, your senior executives, middle managers and data scientists are using these BI analytics tools for strategic initiatives, as well.

In order to align the tasks and activities of the organization to achieve goals and objectives, the enterprise must have an overarching vision of how best to cascade Business Intelligence Analytics Software and how to use and share the analysis to make the best decisions and to examine and understand what the data is telling the user.

Gartner research suggests, ‘To make this collaboration happen, business and IT must work together on vision, strategy, roles, and metrics. Everyone is going to have to change, and everyone is going to have to learn.”

Deep Dive Analytics can and will provide crucial insight and information but the organization must take action on what it discovers, or all that insight is for naught. Let’s use an example. If a senior management team is considering buying another, smaller company, or expanding into a new market, or creating a new product to compete in a different market, the data analytics tool can offer great insight into the advisability of each of these actions. Furthermore, if the business is using visual analytics, KPIs, and other tools, the integrated data from all systems within the enterprise can present a clear picture and recommendations for action.

BUT, the culture within the organization must support the use of the data and analysis provided by the BI Analytics Tool to make the RIGHT decision. At every level of the organization from individual users to team leaders, middle managers, IT staff and senior executives, the enterprise must be aligned and prepared to use the resulting business intelligence to support and make decisions.

If an enterprise decides to spend the time, money and effort to implement Data Analytics Tools, and to train users, it must commit to taking strategic, operational and tactical actions based on the analysis provided by these tools and to put aside the guesswork and opinion deeply rooted in the old corporate cultures.

Comments

Orchestrating Growth

The Interactive Symphony of Digital Transformation and Leadership In a world where candle makers evolved into bulb manufacturers and carriage-makers transformed into car producers, the relentless tide of digitization silently reshapes industries. We stand on the precipice of a transformative era, where technology intertwines with data, analytics, and robotic process automation. As the maestros of this digital symphony, Dataception explores the multifaceted forces driving innovation. Today, we embark on a journey through the realms of leadership, data-driven decision-making, and the creation of value. The Unseen Revolution: Digitization, like a silent revolution, reshapes structures imperceptibly. Comparable to the transition from candles to bulbs, this shift is profound, often escaping immediate notice. In this transformative era, technology is not merely a tool but the very medium through which industries communicate, evolve, and thrive. The Evolution of Demand: ...

Platform engineering : A Catalyst for Growth

Platform engineering is a discipline that focuses on building and maintaining internal developer platforms (IDPs). IDPs are a set of tools and services that provide developers with a self-service environment for building, deploying, and monitoring applications. Platform engineers work closely with developers to understand their needs and build an IDP that meets those needs. They are responsible for designing, building, and maintaining the IDP architecture, as well as developing and maintaining the tools and services that are offered on the platform. It is a relatively new discipline, but it has quickly become essential for software engineering organizations of all sizes. As organizations adopt cloud-native architectures and DevOps practices, they need a way to provide developers with the tools and services they need to be productive. Some of the key benefits of platform engineering include: Increased developer productivity: It can help developers be more productive by providi...

BI for Customer Relationship Management

Can Business Intelligence for CRM Help Attract and Retain Customers? Customer service and customer satisfaction are the backbone of customer relationships. In an effort to ensure customer satisfaction and retention, businesses spend a lot of time trying to understand buying behavior, customer expectations for product support, website support and product and service variety, as well as gaps in product and service offerings. If an organization can accurately monitor and measure customer service factors and customer satisfaction, it is easier to resolve issues and capitalize on opportunities and to anticipate customer needs and fill market gaps. The goal is always to attract new customers, retain existing customers and obtain those all important client references. Business Intelligence for CRM is crucial to business success. Your competitors have already embraced metrics and KPI for customer relationship management to provide objective metrics and understand what tasks an...

Dataception

Search This Blog