Discover Performance

HP Software's community for IT leaders // July 2012
Subscribe

6 steps to a successful analytics upgrade

With traditional analytics systems maxed out by big data, start piloting the right solutions—before your competitors do.

The secrets to be found in big data can touch every corner of the business. In a big data world, there's a smarter way to do just about everything.

Take sales and marketing: A major power shift has dramatically changed your relationship with your customers. Today's proactive consumers tend to discount—or bypass entirely—traditional advertising and marketing messages. Instead they research their spending decisions on the Internet. When they do use traditional media, they frequently bypass advertising. 

It becomes harder to get the right message to the right customer at the right time. But at the core, both the challenge and the solution are fueled by smart use of greater information management resources.

Your customers are in control of the relationship; companies need to be able to micro-tailor their marketing techniques and, in many cases, the products themselves—insight that a cutting-edge analytics tool can provide.

Missing out on the big data promise

Traditional data analytics systems are often no help at mining the increasing amount of data that can provide highly customized messaging and similar insights.

Business and marketing leaders can’t execute on new ideas to generate more revenue because IT can’t support their requests to add new data sources to existing queries. Even the traditional reports that foster the status quo are taking far too long to run, resulting in missed business opportunities.

Breaking the stalemate

The race to draw more value from rising mountains of data has already begun. A next-generation data analytics system is clearly needed, and those who delay will find it increasingly difficult to compete.

The marketplace for analytics systems that can handle big data volume is still developing, but sitting on the sidelines isn’t an option. These six guidelines can help you find the right big data decision analytics system for your organization:

  1. Run a discrete pilot program. A formal pilot will prove the value of the investment in a powerful way, and let you discover idiosyncrasies in your data or architecture that you’ll need to accommodate before full rollout. The pilot must provide real value in solving a critical data problem without disrupting the day-to-day business.
  2. Concentrate on a single data issue (or a small cluster of issues) that has momentous business impact. Limiting scope to a single problem will let you arrive at the right solution more quickly, and will prevent unproductive complications. Moreover, a high-impact project will help secure enthusiastic support.
  3. Work closely with line of business managers and let them drive the requirements. Rely on business leaders to determine when the new solution is achieving the desired results and performance levels. Tap their insight about what the enterprise needs today, and how they expect those needs to evolve. 
  4. Use live data. It may be a pilot but it is not experimental. Get real results whenever possible so you can see how the solution will perform in production.
  5. Consider scalability issues and infrastructure preferences up front. Architectural flexibility can be critical to an analytics solution. Seasonal data spikes, for example, are a good reason to seek a solution that’s compatible with cloud system architecture or one that can use off-the-shelf hardware.
  6. Examine the complete workflow. Make sure that the solution you choose fits into your existing business intelligence environment and will not require IT or business users to be retrained in the tools they currently use to interact with data.

Making your data work

By storing massive amounts of data from innumerable sources, organizations possess prodigious business intelligence potential. Yet few are getting the insights they need.

Teasing out these potential insights from all the raw data we store is a game-changing opportunity for those who dare to take action in a nascent marketplace.

To learn more about how next-generation data analysis can be a critical differentiator in today's fast-paced business world, visit the Vertica site.


x

IT leader assessment

This tool evaluates the correlation between IT attributes and business success and, based on how your answers compare with average scores, will advise you where to invest in IT.

It is based on data HP collected from 650 global companies about a range of IT characteristics (server capacities, approach to information management, security, BYOD, etc.) and how they correlate to revenue gain. This assessment will compare your answers to the average scores in that study.

There are 12 questions that will require an estimated 10 minutes of your time. You'll receive a summary of your rating upon completion.



Let's get started
x

Please select an answer.
x

Analysis:

Your answer:
Your score:
Average score:
Revenue leaders' score:


x

Please select an answer.


x

Results

Your score:
Average score:
Revenue leaders' score:


Get detailed results:

Subscribe

Popular tags

Events

HP Discover 2014

Join thousands of IT execs, engineers, and solution experts to explore IT trends, strategies, and best practices. (Barcelona,
Dec. 2–4)


Discover Performance Weekly

HP Software’s Paul Muller hosts a weekly video digging into the hottest IT issues. Check out the latest episodes.


Enterprise 20/20

Marketing 20/20

Welcome to a new reality of split-second decisions and marketing by the numbers.

Mobility 20/20

Looking toward the era when everyone — and everything — is connected.

Introduction to Enterprise 20/20

What will a successful enterprise look like in the future?

CIO 20/20

Challenges and opportunities for the CIO of the future.

Dev Center 20/20

How will we organize development centers for the apps that will power our enterprises?

IT Operations 20/20

How can you achieve the data center of the future?

Employee 20/20

What the workforce of 2020 can expect from IT, and what IT can expect from the workforce.

Security 20/20

Preparing today for tomorrow’s threats.

Data Center 20/20

The innovation and revenue engine of the enterprise.

Read more

HP Software related

Most read articles

Discover Performance

Archive

Tweets @ HPITperformance