BI is used to build, report, and analyze business performance metrics and indicators. What about measuring the performance of BI itself? How do you know if you have a high-performing, widely used BI environment? Is your opinion based on qualitative “pulse checks” or is it based on quantitative metrics? BI practitioners who preach to their business counterparts to run their business by the numbers need to eat their own dog food: run their BI environment, platforms, and apps by the numbers. For example, do you know:
How many reports and queries do end users create by themselves versus how many IT creates? That's a great efficiency metric.
How many clicks within a dashboard does it take to find an answer to a question? That’/s another great efficiency metric.
How long does each user stay within each report? Do they just run and print the reports, or export the data to Excel, or do they really slice, dice, and analyze the information? That’s a good example of how effective your BI environment is.
Do you see any patterns in BI usage? User by user, department by department, or line of business by line of business?
How many reports, queries, and other objects are being used, how many are shelfware (not being used)? How often are people using the ones that are being used?
Data management is becoming critical as organizations seek to better understand and target their customers, drive out inefficiency, and satisfy government regulations. Despite this, the maturity of data management practices at companies in China is generally poor.
I had an enlightening conversation with my colleague, senior analyst Michele Goetz, who covers all aspects of data management. She told me that in North America and Europe, data management maturity varies widely from company to company; only about 5% have mature practices and a robust data management infrastructure. Most organizations are still struggling to be agile and lack measurement, even if they already have data management platforms in place. Very few of them align adequately with their specific business or information strategy and organizational structure.
If we look at data management maturity in China, I suspect the results are even worse: that fewer than 1% of the companies are mature in terms of integrated strategy, agile execution and continuous performance measurement. Specifically:
The practice of data management is still in the early stages. Data management is not only about simply deploying technology like data warehousing or related middleware, but also means putting in place the strategy and architectural practice, including contextual services and metadata pattern modeling, to align with business focus. The current focus of Chinese enterprises for data management is mostly around data warehousing, master data management, and basic support for both end-to-end business processes and composite applications for top management decision-making. It’s still far from leveraging the valuable data in business processes and business analytics.
Government reforms will not positively affect IT spending until 2014. Forrester estimates that India’s IT purchases will grow by 9.5% in local currency in 2013. The Indian government is taking steps to reform initiatives and stimulate the economy in the wake of faltering economic growth caused by inflation as well as corruption, political gridlock, and lack of business investment. However, Forrester expects corporate spending to remain cautious ahead of parliamentary elections scheduled for 2014.
Increasing customer expectations will drive software spending. 94% of the Indian organizations surveyed in our Forrsights Budgets and Priorities Survey, Q2 2012 cited the need to improve their product and services capabilities to meet increasing customer expectations as their top business priority. We therefore expect increased investments in CRM, customer communications management (email marketing software, SMS communication software, etc.), and business process management tool solutions.
The 2013 New Year has begun with the removal from the global tech market outlook of one risk, that of the US economy going over the fiscal cliff. On New Year's day, the US House of Representatives followed the lead of the US Senate and passed a bill that extends existing tax rates for households with $450,000 or less in income, extends unemployment insurance benefits for 2 million Americans, and renews tax credits for child care, college tuition, and renewable energy production, as well as delaying for two months the automatic spending cuts. While it also allowed Social Security payroll taxes to rise by 2 percentage points — thereby raising the tax burden on poor and middle class people — and did not increase the federal debt ceiling or address entitlement spending, the last-minute compromise does mean that the US tech market no longer has to worry, for now, about big increases in taxes and cuts in spending pushing the US economy into recession.