Process
The process of a marketing information system is the sequence of identifying managers’ information needs, collecting and checking relevant data, analyzing it, and delivering the findings. Managers first define the decision and information required; the system then gathers suitable internal and external data, checks its accuracy and completeness, analyzes it for useful patterns, and presents the results through reports, dashboards, or alerts.
Identifying Managers’ Information Needs
The first stage of the marketing information system process determines what managers need to know before data is collected. Managers clarify the decision they face, the questions that need answers, the measures that matter, and the period or level of detail required. A pricing decision, for example, may require information about sales volume, customer response, costs, and profit at different price levels.
What a manager requests is not always the same as the information needed for the decision. A general sales report may show that sales have fallen, but it may not show whether the decline is limited to a product, customer group, location, or period. Connecting the request to the actual decision keeps the system focused on relevant information.
Selecting and Collecting Relevant Data
The next stage selects the data that can answer the manager’s question and gathers it from suitable internal and external sources. The system may use existing business records, current market information, or findings from a specific research study, depending on the decision. To compare campaigns, for example, it may collect spending, audience reach, customer responses, and sales data for the same channels and period.
Collecting more data does not necessarily produce a better answer. Information may concern the right subject but still be unsuitable if it covers a different period, market, product group, or customer group. Relevant data must match the scope, timing, and level of detail required by the decision.
Checking Data Quality
Before the data is analyzed, it is checked for accuracy, completeness, consistency, and timeliness. This stage identifies missing values, duplicate records, outdated information, unusual entries, and differences in formats. An order with no product code or a sales amount that does not match the recorded quantity and price would need to be reviewed before it is included.
Two sets of data can be accurate on their own and still cause problems when combined. One system may count a purchase when the order is placed, while another may record it only after payment is completed. Unless the definitions and periods are aligned, the same business activity can produce different results.
Organizing and Combining Data
After the quality checks are complete, the marketing information system organizes the data into consistent categories and connects related records. Shared details such as product codes, customer IDs, order numbers, dates, and locations allow information from different systems to be analyzed together. A campaign response, for example, can be linked with the purchase that followed during the selected period.
Combining data does not always mean placing every record in one file. Separate records can remain in their original systems and be connected through common identifiers when needed. If a reliable link is missing, forcing a match may connect the wrong customer, order, or campaign and weaken the analysis.
Analyzing and Interpreting Data
Once the data is organized, it is analyzed through totals, averages, ratios, trends, comparisons, or suitable analytical models. The method depends on the question the manager needs answered. To understand a regional sales decline, for example, the system may compare products, customer groups, channels, prices, and stock availability across the affected periods.
Analysis and interpretation are related but not identical. The analysis may show that sales fell after a price increase, but this does not prove that the price caused the decline. Seasonal demand, limited availability, or competitor activity may also have affected the result. Interpretation considers these possible explanations before the findings are presented.
Delivering Findings to Managers
After the data has been interpreted, the findings are delivered to the managers responsible for the decision. The presentation should answer the original question, explain the main results, show the evidence behind them, and note any limits or uncertainty. It must also arrive while the manager still has time to act on the information.
Delivering every available detail can make the main finding harder to understand. A manager choosing between campaign budgets may need a clear comparison of expected cost, sales, and risk, while an analyst may need the supporting tables and calculations. The amount of detail should match how the recipient will use the findings.
Choosing Reports, Dashboards, or Alerts
The delivery format depends on how often the information changes, how much detail the manager needs, and how quickly a response may be required. Reports are suited to scheduled summaries and detailed analysis, while dashboards provide an ongoing view of important measures. Alerts draw attention to a specific change, exception, or threshold that may need immediate action.
Faster delivery is not always more useful. An alert is valuable when stock falls below a critical level or campaign spending exceeds its limit, but routine changes can be handled through a dashboard or scheduled report. Too many alerts make it harder for managers to notice the few that genuinely require attention.
Reviewing and Updating Information Needs
After managers use the findings, they review whether the information answered the original question and arrived with the right detail and timing. Their feedback may lead to changes in the data collected, the measures used, the analysis performed, or the way results are delivered. New decisions and changing market conditions can also create different information needs, so the process begins again.
Updating the system does not mean adding more measures every time. Some information may no longer relate to the decisions managers are making, and keeping it can make reports harder to use. A useful review adds what is missing and removes details that no longer support action.
Problems in the Marketing Information System Process
Problems can arise when managers’ needs are unclear, unsuitable data is collected, records use different definitions, or information becomes outdated before it is analyzed. Weak analysis can lead to incorrect interpretations, while late or overly detailed findings may be difficult for managers to use. A gap at any stage can reduce the value of everything that follows.
Later stages cannot fully correct a mistake made at the beginning. A sophisticated analysis of irrelevant data may be technically accurate but still answer the wrong question. The process works only when the information need, data, analysis, and final delivery remain connected to the same decision.
Example of the Marketing Information System Process
Suppose a retailer needs to decide whether to repeat a weekend discount campaign. The information need is defined around sales, profit, campaign cost, and product availability. The system collects the relevant figures, checks that product codes and sales periods match, and combines the records for the stores involved. It then compares campaign results with normal weekends and delivers the findings in a short report.
Sales figures alone may make the campaign look successful if more products were sold. Once discounts, advertising costs, and stock shortages are included, the analysis may show that the higher sales produced little additional profit. The manager can then adjust the discount or product selection instead of repeating the same campaign unchanged.