Business analytics can help an organization make better-informed decisions, find operational inefficiencies, improve products and services, understand customers, and plan for demand or risk. It does not produce those outcomes automatically: the data must be relevant and reliable, and people with authority must act on what it shows.
What business analytics does
Business analytics is the use of business data to identify patterns, track performance, and inform decisions. That can mean reviewing sales and customer records, monitoring a production process, or using historical and sensor data to anticipate demand or equipment problems. Its value is practical: it helps people decide what to change, where to direct resources, or what to investigate next.
| # | Preview | Product | Price | |
|---|---|---|---|---|
| 1 |
|
Business Analytics, Global Edition | $59.10 | Buy on Amazon |
| 2 |
|
Business Analytics: Data Analysis & Decision Making (MindTap Course List) | $23.98 | Buy on Amazon |
| 3 |
|
Business Analytics (MindTap Course List) | $97.77 | Buy on Amazon |
| 4 |
|
Business Analytics | $106.74 | Buy on Amazon |
| 5 |
|
Business Analytics: Data Analysis & Decision Making | $190.38 | Buy on Amazon |
As an Amazon Associate I earn from qualifying purchases.
The strongest case for analytics is not that a dashboard or model guarantees growth. It is that measured evidence can make a decision more informed and make the effects of a decision easier to assess.
Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsBenefits organizations may realize
Make decisions with clearer evidence
Analytics can turn records into measures that help managers assess strategy, resource allocation, operations, customer service, and workforce training. The National Institute of Standards and Technology’s Baldrige business guidance advises organizations to use data and information to make decisions, rather than relying on instinct alone. It recommends a small, balanced set of financial, operational, customer, and workforce measures; information should be timely, reliable, and accurate, and performance should be reviewed consistently. People also need access to the information and authority to act on it.
#1 Best Overall
Spot inefficiencies and control costs
Data can make delays, excess stock, avoidable work, or mismatches between demand and capacity easier to see. In interviews for the UK government’s qualitative study, businesses described using data to track demand and stock, automate payroll, and manage customer relationships. One medium-sized manufacturer used real-time job tracking to tell customers where an order was in the factory and to help forecast stock supply. These examples illustrate how better visibility could support efficiency; the interviews are exploratory, not a representative measure of how often businesses achieve savings.
Improve products and services
Sales, service, and usage data may reveal changing demand, recurring problems, or unmet needs. Teams can use those signals to adjust an existing offer or consider a new one. Analytics can also help assess whether a change is associated with a difference in customer response or business performance.
Understand customers and improve service
Customer and transaction data can help a business identify different needs, monitor service quality, and decide where a more tailored experience may be appropriate. In one North American airline case described by McKinsey, the airline combined customer, operational, and financial variables to identify customers at risk after delays and tailor compensation. McKinsey reported an eight-fold improvement in overall customer satisfaction and 60% lower churn among high-value at-risk customers in that case. Those figures describe one publisher-reported case, not a typical result or a guarantee for other organizations.
The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Plan for demand and risk
Predictive analytics uses data to estimate what may happen, rather than only describing what has already happened. The OECD identifies possible applications such as sales and budget forecasts, inventory planning, mapping uncertainty, and identifying opportunities for small and medium-sized enterprises. Predictive maintenance is another example: sensor readings and asset history can help anticipate equipment failure. Forecasts are estimates, so their usefulness depends on suitable data, implementation, and the decision being made.
Rank #3
What the UK business evidence shows
The Department for Science, Innovation and Technology commissioned Ipsos UK to conduct wave 2 of the Business Data Use and Productivity Study. Its representative UK business survey covered 3,796 businesses, with fieldwork from 3 December 2024 to 28 February 2025. The findings below describe respondents’ reported data use and outcomes. The report explicitly does not seek to establish causality, so these figures are not proof that analytics alone caused a particular result.
| UK survey finding | What it indicates |
|---|---|
| 83% of UK businesses handled some form of digital data. | Digital data use was widespread in the surveyed business population. |
| Among businesses handling digital data, 72% analyzed it. | Analysis was common among businesses already handling digital data. |
| 46% of businesses handling digital data agreed that data processing or analysis supported or informed business decisions. | Respondents reported a decision-making benefit. |
| 43% agreed that acquiring, collecting, or analyzing data contributed to creating or improving products or services. | Respondents reported a contribution to product or service changes. |
| 38% agreed that data use led to more efficient internal processes or cost savings. | Respondents reported operational or cost benefits. |
| 60% agreed that data use led to a better customer experience in the wave when that question was asked; it was not asked in wave 2. | This is a finding from a different survey wave, not a wave 2 result. |
The survey also found that 51% of businesses that analyzed data reported creating or improving products or services, compared with 19% of non-analysers. For more efficient processes or cost savings, the corresponding figures were 47% and 14%. These are observational comparisons: they do not show that analysis caused the difference, and other characteristics may distinguish businesses that analyze data from those that do not.
Rank #4
The report cites a separate 2025 Office for National Statistics analysis as finding around 19% higher turnover per worker among businesses adopting advanced digital technologies. That figure is not an estimate of the effect of analytics alone, and the government study reports it second-hand; it should not be treated as a direct measure of analytics returns.
What determines whether analytics delivers value
Start with a decision, not a dashboard
Define the business question first: for example, why orders are late, which service issues recur, or how much stock is needed. Choose a small number of measures connected to that objective, decide how often to review them, and identify who can make a change based on the results. Measures that are easy to collect but unrelated to a decision can create activity without useful insight.
Best Value
Check the data and the people using it
The UK qualitative study identified inaccurate or inconsistent data, manual entry, outdated systems, and weak data management as obstacles. A pattern in poor-quality records can lead to a poor decision. Teams also need the skills to interpret findings, access to the relevant information, and a process for translating analysis into action. The study noted that skill shortages and employee resistance can impede adoption, while leadership and training can help embed data use.
Account for scale, privacy, and security
The UK statistical report found larger businesses were more likely to have analytical staff and access to findings, while smaller businesses may face greater skills and investment barriers. Businesses interviewed for the qualitative study also raised cybersecurity and regulatory concerns, particularly among smaller firms. When personal data is involved, use appropriate safeguards and obtain legal review for the rules that apply to the business and its data.
Quick Recap
A practical way to begin
- Choose one business question. Select a decision that matters to the organization, such as reducing late orders or improving stock planning.
- Identify a few relevant measures. Use a balanced set where useful—for example, operational performance alongside customer or financial measures—and confirm that the underlying information is timely and accurate.
- Assign an owner and a review rhythm. Make clear who can see the findings, how often they will be reviewed, and who can authorize a response.
- Test a change and observe what follows. Record the action taken and monitor the measures over time. Treat a change in results as evidence to assess, not proof of causation unless the evaluation design supports that conclusion.
- Review safeguards and capability. Check data access, privacy, security, staff training, and whether the existing systems can support the process before expanding it.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
