Managing an application data migration nightmare? Learn how standardized Integration Competency Center principles can save money and reduce risk.
Managing an application data migration nightmare? Learn how standardized Integration Competency Center principles can save money and reduce risk.
Data is the lifeblood of your organization. Don’t put it at risk by concentrating on securing only the perimeter of your IT infrastructure.
Data integration does not just concern IT. It’s an essential business process.
Your problems will become only more pronounced the longer you resist a centralized data management solution.
A hairball of point-to-point integrations isn’t just an IT maintenance headache—it’s bad for the business. With a canonical approach, enterprise architects can begin untangling the hairball and minimize the impact of change.
Infrastructure complexity and poor coordination across teams are slowing some IT functions to a crawl. Enterprise architects should consider Lean Integration as a framework to architect for speed and agility while minimizing waste.
Fighting change can be a waste of time and energy. Instead, elevate your role in the organization by focusing on fundamental business problems.
Heed your own advice by focusing on automation and efficiencies. You will find it scales better than just throwing head count at your processes.
If CRM, ERP, and payroll are not the biggest applications in your organization, what is? Follow the data for the answer.
Automation lets IT meet the ever-changing needs of the business by enhancing speed, reducing costs and risk, and growing revenue.
The integration hairball might be no one’s fault in particular—but it’s everybody’s problem. Enterprise architects are in an ideal position to move the enterprise from a mess of point-to-point integrations towards a more strategic architecture.
Learn from your own experience, and Disney's, by leaving nothing to chance and everything to data.
Understand the inherent risks and complexities that an innovative solution can bring to already complex big data efforts.
If you are looking to extract value from data, remember that big data is still too slow and unstructured for real time.
No data should be off-limits. Learn to unleash the power of all your data while still preserving its security.
Simply getting data is not good enough. You must get it to the right people at the right time while it is still fresh enough to be useful.
To Sales & Marketing Leaders
Make application data migration into more than simply moving old data to a new system. It is also an ideal opportunity to showcase the potential value from a data governance program.
A decade ago, Nicholas G. Carr declared that IT no longer mattered. It turns out that he was two-thirds right and one-third wrong.
No matter how successful your IT team and how well-crafted your message, marketing the IT department to your organization is a potential disaster.
Not all chief information officers see themselves at the pinnacle of their careers. How do you move into a new role in the executive suite?
Don't overlook the importance of a solid foundation of customer data to improve how you connect with customers through social channels.
If you don’t have the right CRM strategy in place, you’re not just losing sales. You’re losing the ability to plan and market effectively.
Are your marketing and sales teams spending excessive time pulling together customer information to do their jobs better?
Marketing and sales may not always agree, but they do share the same goals. Find out how a CRM system can help achieve them.
Sunil Soares encourages information leaders to use business applications to highlight the value of trusted, secure data in your organization.
IT professionals admit to understanding hidden data risks but are not investing in the automated tools to address them.
With six architectural initiatives, EMC modernized its strategic systems, delivered self-service, and eliminated data silos.
Enterprise architects need to evaluate their enterprise data architecture from all perspectives to accelerate the delivery of business value.
Disruptive technologies will divide enterprise architects into strategic vanguards and legacy laggards—which path will you take?
Gathering and analyzing data for real-time decision-making doesn’t have to depend on investments in brand new tools, technologies, or skills.
Focus on data cleansing, prep, and quality when facing the higher volume, wider variety, and faster velocity of data generated by the Internet of Things.
Becoming a market leader requires mastering customer data from multiple applications, as well as from both internal and external sources.
With more than 100 data sources to substantiate, Fannie Mae needed to tackle data quality from both a technology and a workforce angle.
Data governance isn’t just about technology. It’s also about establishing business ownership of the data by assigning them official roles and responsibilities.
The CFO and CIO need to foster a relationship based on their shared need of accurate data to advance their reputations as strategic business leaders.
Even the most data-driven CMO can have too much information thanks to the glut of competing marketing solutions.
The customer journey now traverses multiple channels and devices. Your marketing efforts must do the same.
Security problems are not inherent to the cloud, but they are inherent to being human.
What does your application methodology and infrastructure have to do with cloud application success? Everything, says one expert.
Verizon enforced a swift application retirement process when it migrated from an on-premise to cloud CRM. See why the quick move was sound.
Use the vision of a big data pioneer to understand why you need to “walk before you run” to build the foundation of an enterprise data hub.
The Internet of Things produces data at rates beyond human comprehension. It may also overwhelm your data environment.
Continuous data delivery is not rocket science—it’s common sense.
Enterprises are turning to the cloud to help tackle growing amounts of data. Bridging on-premise with the cloud is the new hybrid frontier.
Information that can understand itself and actively help developers could be in your future. Make sure your infrastructure is ready.
The solution to your most pressing integration problem may already exist. Try a prebuilt solution or turn to other developers for help.
How far has your infrastructure moved into the cloud and what does it mean for your data policies and processes?
Traditionally onerous tasks in information management initiatives are being rendered obsolete by hands-on collaborative methods.
Real-time consumer relevance makes product recommendations more personal, accurate, and saleable—but you need to start with the right data.
Is your company equipped to contend with the complexities of managing employee devices? Find out how you can keep your data secure.
Healthcare organizations that consolidate and integrate disparate data sources can unlock valuable insights for business users.
Former Symantec CIO Mark Egan explains how to stay ahead of increasingly dramatic breaches with an enterprise data security strategy.
Sentiment data can drive sales, guide product development, and enhance customer service. Be sure to vet the source and motivation behind it.
The right data can help marketing teams personalize offers to drive revenue, boost conversion rates, and increase customer loyalty.
Consider implementing data masking or MDM technology to secure your customer data.
Preparing for an acquisition? Mitigate the most common risks during business application consolidations.
Deploying a new application? Keep data integration and quality a priority to avoid common pitfalls.
Give your CMO a single view of target audiences through application integration and analytics.
A flood of big data is bringing with it pressure for real-time insights from business users and from security and privacy regulations.
Save valuable resources and put an end to frustrating guesswork by extracting a more accurate view of what business users really need.
Embracing education and continuous improvement shows ongoing commitment to data quality and better alignment with your organization’s common goals.
Rapid prototyping turns a normally difficult requirements process into a collaborative exercise benefitting both business and IT.
Streaming technology moves data quickly, removing complexity and reducing potential for failure.
Reduce deployment time and inconsistent processes by building best practices into your mappings.
Follow these 4 steps to ensure you use best practices and emerge from a merger or acquisition with a trusted version of your data.
Organizations need to limit expectations around the size and scope of big data pilots for maximum effectiveness.
It’s difficult to describe how different types of data, from different sources, in unknown states of readiness and usefulness, can drive value.
Better to validate needs from the outset than impede the progress of your project with a challenging requirements review process.
Don’t sacrifice the needs of the business by discarding a centralized IT model if governance and security are among your organizing principles.
Break down constraints placed on data by legacy “solutions” and integrate it across the company for maximum business value.
To Information Leaders
Kord Davis, author of Ethics of Big Data: Balancing Risk and Innovation, explains how consumer trust can give you a competitive edge.
These four steps will prepare you to face even your biggest detractor.
If you have your sights set on cleaning applications clutter, make sure you understand what should stay and what can go.
Learn how to quickly transform wasted budget into valuable innovation by decommissioning legacy applications.
Data integration will stop being a middleware technology and become a business process, controlled by IT but driven by the business.
Next-generation data integration promises to increase productivity by providing transparency into the sources and formats of data.
Business users need actionable insight based on the latest information, so you need to build a foundation for agile BI, real-time analytics, and operational reporting.
Overcome inertia with this easy-to-follow worksheet that breaks down a seemingly overwhelming project into manageable steps.
An on-premise approach to self-service data integration promises benefits to both the business and IT.
It is time to prove to IT that self-service data integration and centralized IT governance are not at odds with each other.
Take advantage of your data expertise and enterprise-wide perspective to forge a strategic alliance between the CMO and CIO.
Use a next-generation data integration platform to support data standards and governance while enabling true self-service analytics.
EMC’s Barbara Latulippe explains the importance of working closely with the business to understand who is going to use the data and how.
IT leaders are often too buried in day-to-day issues to take time to determine upcoming IT priorities. Fortunately, help has arrived.
Cloud-based business intelligence promises faster, easier, and more cost-effective deployment. Learn how to make the most of this cutting-edge technology.
It takes more than certifications and hard work to transition from a company’s IT trenches to the exalted C-suite. Here are five steps that will get you where you want to be.
Big data is redefining big business. But to take full advantage of your data, you must create a strong foundation for analytics.
Team-building exercises may be fun, but there’s a better way to convince sales and marketing to work hand in hand: metrics.
Yasser Said, vice president of Informatica’s global sales operations, describes how to roll out and support today’s highly effective Challenger Sales model.
You have made a significant investment in your enterprise applications. Follow these 5 steps to get the return on investment you are due.
Struggling with next year’s IT priorities? Eric Johnson, CIO of Informatica, weighs in on the top trends for application leaders.
Is your organization ready to take advantage of the convergence of applications and analytics to drive greater business value?
Raise your visibility, credibility, and influence by using business terms with stakeholders, then translating them into your own best practices.
Data integrity is critical to an organization. If you lose focus on its importance, business users will lose faith in its value to the business.
Identifying who owns your data at different stages in the life cycle should be a priority if your business wants to be successful.
Event-driven architecture lets you create real-time applications that empower the business to make the right decisions at the right time.
Focus on learning new skills, developing innovative projects, and getting certified. You will gain job security and greater exposure in the process.
NoSQL will not replace all your tools, but it will be a valuable addition to your toolbox.
Enterprise information management expert Kelle O’Neal shares three best practices to consider when conducting a data governance maturity assessment.
Capitalize on the business enthusiasm for cloud initiatives to build support for your enterprise data management strategy.
If you haven’t measured your progress over the past year, you may find it difficult to convince the business of the value of next year’s initiatives.
Understand your power as a CIO and use it to effect change by prioritizing innovation.
Developers and analysts must expand their skills if the business is to succeed in its efforts to improve agility.
Anneke Seley reveals how a social selling strategy can really pay off. And she should know. She wrote the book on it.
Generating sales revenue is tough enough in today’s global economy. Fortunately, sales analytics can provide a much-needed boost.
Do your sales and marketing departments battle each other? Or have they learned to play well together? Now is the time to find out.
Avoid risking your data entering the cloud unprepared or missing out on its benefits altogether because of an over-zealous security team.
Lacking an application data security strategy? Use these tips to foster a more balanced, collaborative approach to data security.
Think your application data is secure? Find out if commonplace practices have left your corporate data more vulnerable than you think.
Use this obscure technique to realize the benefits of big data while avoiding flat file bottlenecks.
How can developers reuse objects if they don’t know they exist in the first place? Try employing a “write once, deploy anywhere” methodology.
Shed the waterfall model and reap the benefits of prototyping: earlier feedback, tighter collaboration, and more accurate results.
The sanity afforded by defining data standards only once and applying them anywhere will create time to investigate innovative uses for that data.
Are devices that track our every move poised to unlock new potential in humankind or are they just downright invasive?
Some question the need for a new C-level position, arguing that a company’s chief information officers should be overseeing an organization’s data.
Emphasize the reality of cloud-based and mobile apps to the business, while encouraging your team to remain flexible to user demands.
You can no longer merely talk about aligning IT with the business. You need to take actionable steps to change the skills and culture in your organization.
Do changing technologies mean big IT infrastructure costs and headaches? Protect your technology investment and focus on innovation.
To drive business growth, you need to radically revamp your traditional tools and skills and use data to make better decisions.
Opening the lines of communication will help you drive more effective campaigns and better measure results.
There’s no doubt that big data will garner competitive advantages. The challenge is gathering the disparate data generated by disruptive technologies.
Proactively engage with your business counterparts to plan a cloud application strategy that aligns with your infrastructure.
If the business is blocking your cloud deployment, your cloud strategy’s success may hinge on relationship skills.
Are your users purchasing cloud applications on their own? How can you advise them and stay on top of cloud sprawl?
Veteran developers will not face obsolescence if they highlight the value of their experience and knowledge.
Make sure to use appropriate software tools in order to prevent problems before, during, and after data integration.
Remain efficient and uncompromising in quality, cost, and speed by keeping your data integration process clean.
Business analysts are under-utilized, and it may be your fault. The most effective analysts work across the business. Before investing in high-priced data scientists, charge up your business analysts to unleash information potential.
A successful big data project could be a big win for your organization and your career. Focus on the wrong priorities, however, and your big data project will be over before it even begins. Prioritizing data veracity, visualization and value is the key to success.
The term data governance can alienate business executives with implications of bureaucracy and inertia. Information management professionals should avoid discussing data governance, and instead quantify the negative impacts of unmanaged data.
Younger generations expect the always-on benefits of mobile technology, but other employees may not. It’s up to the CIO to bridge the gap.
Shadow IT—should you fight it or embrace it? Neither. Instead, start meeting the demands and pressures that created it in the first place.
Use big data to shape the future of your company. Because if you do not, your successor will.
Do not base your sales forecast on gut feelings. Follow 10 steps to create a single, reliable view of the customer with master data management.
Is your customer’s ability to buy outpacing your ability to sell? Take these 3 steps to stay ahead of customer buying behavior.