The continuous 24/7/365 onslaught of both structured and unstructured data has created unprecedented opportunities and major disappointment at the same time. While there has been no shortage of excitement around the emergence of big data as a source of competitive advantage, cutting through the hype and making data actionable has been a major source of heartburn for business teams.
Enlightened executives have come to understand that next to their people, data is their most valuable corporate asset. They know that leveraging a company’s own unique data assets is the key to cracking the code and winning in the 21st century. To transform a company into a digital competitor, the CEO and their team should leverage technology to:
Drive revenue productivity
Improve operational efficiencies
Enhance the customer experience
Monetize data assets
Easier said than done. And as a result, the technologies associated with making big data actionable—i.e., organizing, analyzing, and creating useable output from it—have become a priority for global enterprises across all sectors. Managing and monetizing this “Big Data Tsunami” has become job No. 1 for many CEOs around the globe.
Also Read: Enterprise Data Strategy Consulting
Becoming an analytics-driven enterprise is essential in the Age of Digital Transformation, where start-ups are emerging in every sector, taking share from established brands, and inhibiting legacy organizations’ improvement in core KPIs.
BI tools collect, analyze, monitor, and predict future business scenarios by creating a clear perspective of all the data a company manages. Identifying trends, enabling self-service analytics, utilizing powerful visualizations, and offering real-time online analysis and insights for management decision-making are becoming the standard in business operations, strategic development and, ultimately, indispensable tools in increasing profits.
These tools include key features such as data visualization, visual analytics, interactive dashboarding and KPI scorecards that require minimal IT support. They allow business users to utilize automated reporting and predictive analytics in a self-service mode to operate the business and create the “analytics-driven enterprise of the future.”
Many innovative software companies have combined individual BI tools into suites with complementary functionalities. These solutions have been designed to give executives a better overall view of how their business is operating today, with insights into how the business model will need to evolve over time in order to compete and win.
Today, the world’s most innovative companies are using complex combinations of these commercially available suites along with their own proprietary data analytics to drive the performance of these bundled solutions to even higher levels. Innovative best practices are emerging every day, transforming these enterprises into digital competitors and leaders in their category.
The below graphic is an illustrative example of a global 24/7/365, real-time BI suite-enabled command center. It allows the CEO to:
Upper Left - view sales and distribution data, operating performance data, and many other KPIs in real time
Upper Right – view the same data over a defined periods of time
Lower Left – see the data globally in all countries of operation in real time
Lower Right – predict required “next logical actions” and prescribe new approaches to product development, marketing, sales, distribution, and channel strategies.
Data Analytics consists of four categories: 1) Diagnostic, 2) Descriptive, 3) Predictive, and 4) Prescriptive.
Diagnostic and Descriptive analytics tell the company what happened and why, while Predictive and Prescriptive analytics tell the company what to do and when to do it.
Properly integrated, a strategic BI solution can let the business both look “in the rearview mirror” (diagnostic and descriptive reporting) and “through the windshield into the future” (predictive and prescriptive actions). This allows the company to optimize its approach to customers, products, and markets, as well as drive core KPIs to new levels.
BI suites when integrated properly with other data and analytics assets, and organized for the unique needs of the business, can create a strategic enterprise intelligence system. In practice, BI suites must be properly integrated into the operating platform(s) of the business, touching other applications, portals, finance, operations, technology, service, sales, and marketing.
Typically, this requires an expert technology integration partner working hand in hand with the company. The following are selected benefits of integrated BI suites:
Most companies have multiple business units and an ever-expanding array of channel touchpoints. Properly implemented, BI Suites powered by data analytics knock down silos and give the CEO a real-time operating view of the business.
Real-time, self-service analytics drives competitive advantage as each employee is equipped with the right amount of data analytics skills. This frees up data scientists to focus on the predictive and prescriptive analytics that can be embedded in operations to create a competitive, data-driven advantage.
BI Suites reduce or eliminate manual spreadsheets by automating reporting and predictive analytics, reducing cycle time for reporting and prediction.
Real-time process monitoring drives unprecedented process efficiencies.
BI Suites are typically run in the cloud and in a Software-as-a-Service (SaaS) model, allowing for the 24/7/365 generation of insights.
The deployment of a strategic enterprise intelligence system will allow the company to achieve “Digital Champion” status. Digital Champions outperform digital laggards in almost all performance metrics across all industry sectors.
Trianz helps our worldwide clients to become digital champions and strengthen their competitive position in the Age of Digital Transformation. We are leading the industry in the deployment that transforms companies into digital champions.
Our expertise in data analytics and BI suites solutions is helping executives worldwide in solving their most complex digital transformation problems. Our business theme, “Digital Evolution Simplified,” reflects our extensive portfolio of services and capabilities covering business and technology evolutionary transformations. We boast a stellar track record of over 2,500 successful global client partnerships and engagements powered by innovative and futuristic methodologies.
Contact us today to discuss data analytics and BI case studies that apply to your business.
What Is an SQL Query Engine? SQL query engine architecture was designed to allow users to query a variety of data sources within a single query. While early SQL-based query engines such as Apache Hive allowed analysts to cut through the clutter of analytical data, they found running SQL analytics on multi-petabyte data warehouses to be a time-intensive process that was difficult to visualize and hard to scale.Explore
A Winning Base for Successful Digital Transformations When it comes to developing a successful digital strategy, it is not just corporations planning to maximize the benefits of data assets and technology-focused initiatives. The Government of Western Australia recently unveiled four key priorities for digital reform in its new Digital Strategy for 2021-2025.Explore
Engage Your Workforce with a Modern Employee Intranet Solution The employee intranet has changed significantly since it was first introduced in the early 1990s. What started as HTML-based static portals have now evolved into intuitive communication tools complete with search engines, user profiles, blogs, event planners, and more. Today, many organizations are taking a second look at employee intranets to bridge gaps between teams, build company culture, centralize information, increase productivity, and improve workflow.Explore
Adopting emerging cloud technologies, consolidating resources, and improving processes is the key. “IT no longer just supports corporate operations as it traditionally has but is fully participating in business value delivery. Not only does this shift IT from a back-office role to the front of business, but it also changes the source of funding from an overhead expense that is maintained, monitored, and sometimes cut, to the thing that drives revenue,” said John-David Lovelock, research vice president at Gartner.Explore
Deliver Powerful Insights Instantaneously with Federated Queries - No Matter Where Your Data Resides The concept of federated queries isn’t new. Facebook PrestoDB popularized the idea of distributed structured query language (SQL) query engines in 2013. Over the years, AWS, Google, Microsoft, and many others in the industry have accelerated the adoption of a distributed query engine model within their products. For example, AWS developed Amazon Athena on top of the Presto code base, while Google’s BigQuery is based on Cloud SQL.Explore
What is Unstructured Data? Almost 80% of the data that enterprises and organizations collect is unstructured - data without a set record format or structure. Unstructured data includes data such as emails, web pages, PDFs, documents, customer feedback, in-app reviews, social media, video files, audio files, and images.Explore