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By Celso Poderoso, Latin America director of MicroStrategy's Professional Services area
Companies need to create smart companies out of standard thinking
You may have already seen Modern Times, a classic film by Charles Chaplin where he shows the situation that workers faced in the early years of the Industrial Revolution. The invention of the steam engine gave rise to a technological revolution, but it also changed human habits, customs and values.
Making an analogy, today, we need to create smart companies that come out of standard, repetitive thoughts and start to develop creative solutions that leverage business.
A smart company, first of all, is not one that holds a large volume of data, but one that manages to acquire knowledge through them, analyze them and transform them into wisdom. It is not difficult to obtain information, but it is another thing to understand it in order to improve market opportunities and the relationship with customers. Technology should be a support for this since it alone is not able to change much.
It is possible, through this intelligence, to know which product the company sells the most; when a potential customer enters the store (online or physical), understand this customer and even send promotions on mobile according to their profile, among other countless examples. Intelligent data analysis anticipates challenges and opportunities and turns them into profit, providing greater agility in growth. A smart company can improve products, services, operational efficiency and cut costs with speed, bringing greater visibility to the market and to society.
And to reach the maximum level, you need to understand at what stage of maturity in the use of data to make decisions is your company. Seven stages were identified, presented below. Below are some points for improvement to help you identify your moment and move on to the next stage, so you can extract more value from your data!
Stage #1
Use of fragmented tools to make decisions, such as desktop applications isolated and disconnected from corporate servers, to build reports in Excel;
Stage #2
Although there is the creation of departmental solutions for data analysis, it still lives in a fragmented environment with problems of inconsistencies and centralized definition of data;
Stage #3
It has a corporate database and begins to create a corporate data analysis environment. But, it continues with fragmented tools, without a single base and with non-governed information;
Stage #4
Starts analyzing both corporate and departmental data from the company on mobile devices and begins integration with corporate servers;
Stage #5
This is where most companies should find themselves: the analysis of data in a mobile environment is fully present and an integrated corporate look begins to become essential; the first AI (Artificial Intelligence) initiatives are beginning to appear in departments, but still without integration and corporate governance;
Stage #6
It already has a unique knowledge base, a 360º view of products and customers, integrated data with governance, security and standardization of concepts; AI initiatives start to produce good results, improve decision making and gain greater interest from the corporation;
Stage #7
All data used for decision making in a single and integrated environment, the company can connect any data and generate reports and analysis in general for all departments of the company from analytics, safely and using tools such as IoT (Internet of Things) ), AI (Artificial Intelligence), Telemetry, Big Data, Voice Bots, Augmented and Virtual Reality etc.
Disclaimer: The opinion presented in this article is the responsibility of its author and not of ABES - Brazilian Association of Software Companies
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