Tag Archives: SLA

Five Keys to Achieving Proactive Application Performance

Proactive performance management of systems and applications has always been an elusive goal for many organizations. We have enough fires to fight and issues to deal with in our day to day life to make searching for performance problems rank somewhere just below defragging our hard drives. At Informatica we talk with companies every day that try to manage their application performance proactively but lack the tools or process to make it happen. In this blog we will talk about the five keys to making proactive performance a reality. (more…)

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Application Retirement – Preserving the Value of Data (Part Two)

In my previous blog, I looked at the need among enterprises for application retirement. But, what kind of software solution is best for supporting effective application retirement?

It’s important to realise that retirement projects might start small, with one or two applications, and then quickly blossom into full-fledged rationalisation initiatives where hundreds of dissimilar applications are retired. So relying on individual applications or database vendors for tools and support can easily lead to a fragmented and uneven retirement strategy and archiving environment. In any event, some major application vendors offer little or even no archiving capabilities. (more…)

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How to Avoid the Big Data Trough of Disillusionment

Has big data entered the “trough of disillusionment?” That’s what I’ve heard recently. Like  many hyped up technology trends the trough can be deep and long as project failures accumulate, or for ‘hot’ trends that evolve and mature quickly the trough can be shallow and short, leading to broader and rapid adoption. Is the big data hype failing to deliver on its promise of increased revenue and competitive advantage for companies that leverage big data to introduce new products and services and improve business operations? Why is it that some big data projects fail to deliver on their promise? Svetlana Sicular, Research Director, Gartner points out in her blog Big Data is Falling into the Trough of Disillusionment that, “These [advanced client] organizations have fascinating ideas, but they are disappointed with a difficulty of figuring out reliable solutions.” There are several reasons why big data projects may fail to deliver on their promise: (more…)

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The Enterprise Data Archive For Hybrid IT

Data volumes are exploding. We see it all around us. The problem is that too much data can have a very negative impact on user productivity. Think about how long it takes to sift through emails after returning from vacation? Consider how long it takes to complete a purchase on an Ecommerce sight on Black Friday? The more data, the longer any of these processes take and the more time spent combing through more and more data.  Informatica has been successfully working with Symantec and our customers through our partnership to help them find ways to control the impact of ‘too much data’. We are helping them to define projects that improve their ability to meet SLAs and application performance, reduce costs and mitigate any compliance risks – all while IT budgets remain relatively flat. (more…)

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Top 5 Benefits For Making Big Data Small

Lean Data Management is a new approach to managing your data growth. It uses the “Lean” concept that originated with Toyota car manufacturing in the 1990’s. The “Lean” concept is based on maximizing efficiency, eliminating waste and providing more value to the customer. (See Informatica’s lean integration solutions as well as John Schmidt’s 10Weeks to Lean Integration blog series.)

As technology has evolved, industries consolidated, and corporations have grown, these organizations are faced with explosive data volumes called “Big Data”. Big Data is all the different types of data that are supported by IT organizations. Applying the “Lean” concept to managing application data will help you reduce the size of your Big Data by archiving live production databases, subsetting non-production databases and archiving/retiring legacy and redundant applications. Informatica’s Lean Data Management approach to reducing Big Data is an effective, comprehensive approach to addressing the challenges created by Big Data. It’s time to Make Big Data Small with Lean Data Management.

Here are the top 5 benefits for Making Big Data Small: (more…)

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Achieving IT Efficiency Through Consolidation And Legacy Application Retirement In Banking And Capital Markets

One of the top challenges among financial firms of all sizes is how to efficiently manage information within their organization in the face of explosive data growth.  More and more data needs to be retained for a longer period to meet regulatory compliance.  At the same time, they need to meet customer SLAs.  The wave of mergers and acquisitions in the financial services industry leads to IT consolidations effort that leaves many legacy applications behind.  The cost savings from IT consolidations would only be realized by retiring those legacy applications to eliminate the associated operational and maintenance costs.  These legacy applications are kept around because the data needs to be retained for compliance.

(more…)

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