Understanding, analyzing, and correctly managing data is fundamental to succeeding in the competitive world of business.
Globally, organizations manage a large volume of data. From an entrepreneur who keeps track of their sales, to large companies that receive and generate data, reaching petabytes of information.
In 2018, cloud infrastructure reached a peak, as many companies decided to migrate to the cloud as a first step towards modernize the technology stack and replace the data center conventional.
However, The data continued locally or on-premisedue to regulations, or simply the natural precaution of having quick and secure access to information.
Data is an asset which grows exponentially in companies and comes from various sources, such as:
• ERP systems (Finance, Sales, Supply Chain, etc.)
• Web Pages
• Forms
• Spreadsheets (Excel, Google Sheets)
• And much more.
Upon receiving this wealth of information, organizations face enormous challenges such as:
• Unstructured information: information that does not conform to a predefined format or is not organized as required by the organization.
• Democratization of data: difficult access to information.
• Data governance: policies for receiving, storing, processing and deleting data.
Therefore, it is very common to initiate conversations with Managers, CIOs, CTOs, BI Managers, or decision-makers, in order to understand the current point and the direction in which companies want to move.
But, How do you translate data into tangible benefits?
1. Smarter strategic decisions:
In-depth analysis of the market, competition, and our own performance:
• Identifies trends, patterns, and opportunities that would otherwise be invisible.
• It reduces the margin of error and increases the probability of success in decisions.
Examples:
• Walmart: Analyze purchasing data to predict demand and optimize your distribution routes.
• Airbnb: Use data to determine dynamic pricing and offer personalized accommodations.
2. Full operational efficiency:
Process optimization and cost reduction:
• Automate repetitive tasks and free up time for higher value activities.
• Eliminates inefficiencies and improves productivity.
Examples:
• Toyota: Implement a data-driven “Just-in-Time” system to minimize inventory.
• GE Aviation: Use predictive analytics to detect and prevent failures in aircraft engines.
3. New products and services tailored to new needs:
Deep understanding of the client's needs and preferences:
• Develops products and services that meet customer expectations.
• Create innovative solutions that stay ahead of the competition.
Examples:
• Spotify: It recommends personalized music to its users based on their listening habits.
• Nike: Design footwear and sportswear based on biometric and performance data.
4. A customer experience that delights:
Precise market segmentation:
• Personalize messages and offers for each customer segment.
• Build customer loyalty and increase profitability.
Examples:
• Amazon: Recommends products to its customers based on their purchase history.
• Netflix: Personalize movie and series recommendations for each user.
Zenta as a strategic ally in data processing
At Zenta we are committed to providing accurate advice, in order to develop solutions tailored to your needs. maturity stage and requirements of our clients' business.
Projects that have allowed us to achieve the efficiency in manual processes or tedious, consuming significant user time. Some of the solutions we have already implemented based on data are:
• Demand forecasting models.
• Analysis and classification of surveys with sentiment analysis.
• Data Lake & Data Warehouse.
• Data governance.
• Automation of reports and generation of KPIs.
These solutions have enabled the decision making in different business units where the analysis was previously done manually, incurring significant labor costs.
Are you properly leveraging the value of your data?
Tell us about the state of your business so we can help you maximize its success.