Why does business strategy often fail?

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Defining objectives, monitoring their execution and having the necessary agility to redefine the business strategy is only possible with the support of technology and data analysis.

In a mature and highly competitive market, it is unthinkable for a company not to define well-founded and structured commercial, financial or human resources management strategies. It is easy to identify the aspects of a failed business strategy and understand how these elements lead to failure. The big challenge is to understand why a good business strategy failed.

Results may not meet expectations and, often, it is not the business indonesia whatsapp number database that is failing, but rather its execution. Let’s look at some of the main execution errors that can lead to the failure of a good strategy:

Underestimate the data
A good business strategy involves some specific and measurable KPIs that can help monitor progress towards results. But just putting them in the plan and not using this data to structure business decisions is very different. Defining specific objectives, implementing procedures for data analysis and using this information to optimize the strategic plan is essential to improve results.

Focusing strategies on the wrong data
It’s common to think of growth figures as the true metric of business development. Thinking about the qualitative elements of a company’s business plan – such as brand identity or value proposition – is essential to defining a business strategy, but this qualitative analysis must be coupled with concrete data analysis that assesses the company’s performance at all levels.

Speed, never forget speed!
The work environment, the market in which the company operates and consumer behavior change at an incredible pace. An approach that was relevant when structuring the business plan may not be as effective a few months later. In an increasingly volatile world, monitoring performance in real time is almost essential to knowing how to react to today's dynamics.

There is no arguing with data! Data is the most credible source for making solid, secure decisions that are aligned with business strategy.

How to make better decisions? Data analysis!
Dispersed islands of data are not compatible with visionary and fast-reacting management. It is important to have a global view of the data and information that must be considered to make the best decisions.

Today, the democratization of intelligent software empowers non-technical users to analyze and extract insights from data. As a direct result, greater business knowledge is disseminated across the organization’s various profiles, creating a business environment in which decision-making levels are aligned with the same metrics.

What information is important to know to make better decisions?
Through an analytics solution, companies and their various departments can easily measure the results of their efforts and measure them with an impressive level of precision and detail. Let's look at some examples of the analytics that these solutions provide:

Sales evolution
Number of customers
Sales volume
Financial data and analysis
Data on the company's human resources
Structured information about the customer portfolio
Best Selling Items
Inventory evolution
Sales variation by product
Operating results
Products and services sold
Sales analysis by period or market
External indicators, such as market and industry-specific data and information
Total sales and sales by product
Objectives set for later[1] comparison with results
Variation in sales by geographic area
Weight of sales in global business volume
Better data analysis and more consistent strategic decisions
Smart technology helps identify new business opportunities and, consequently, increase profitability. The main advantages of this technology for organizations are:

Provides a global view of the business;
Generates insights that assist the strategic decision-making process;
Facilitates access and sharing of information that supports management;
Helps identify flaws in internal processes;
Increases productivity;
Allows for gains in competitive advantage;
Helps identify sales opportunities.
Discover the solution that guarantees results
Today, there are already analytical systems that improve the commercial performance of companies. An example of this is the PRIMAVERA ERP, a system that is already equipped with intelligent technology and management dashboards that support managers in always making the best decisions. And it is the ability to collect, aggregate and process data in order to transform it into useful information – processes that analytical systems offer companies – that adds competitive intelligence to business management. The real challenge lies in the ability to add business logic and strategy to the analyses provided. The PRIMAVERA ERP adds competitive intelligence, with always updated data, allowing for anticipated business decision-making.

Transform large volumes of complex data into intuitive management information
ERP handles the entire analytical process: from data collection to the presentation of organized information in different dashboards. This entire process is facilitated by the automation of operations, transforming complex data into strategic information, presented in visually appealing and simple graphs that reflect the current state of the business.

Access a set of dashboards with information about the different areas
Accessing information from different perspectives is possible by analyzing a variety of dashboards that provide analysis of what impacts results in all areas of the company, from sales to finance, assets and personnel management. Discover the Dashboards module of ERP PRIMAVERA V10 and start making informed decisions based on reliable information.