Exposing the Dangers of a 'One-Size-Fits-All' Cloud Analytics Strategy

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Adopting a Hybrid or Multi-Cloud Analytics Strategy

When companies adopt a hybrid or multi-cloud analytics strategy over a “one-size-fits-all” approach, they avoid the clear disadvantages and instead ensure the right framework is in place to deliver the best insights from diverse data sources to satisfy the needs of every internal stakeholder. Such firms benefit from:

  • A purpose-built solution. Disassociating deployment environment from tool selection enables one to have the best of everything: the most capable analytic software deployed in the preferred infrastructure environment(s). In other words, one need not be limited in available ice cream flavors based merely on the selection of cone or cup; having it all means picking the flavors you want in the container you prefer because in a hybrid or multi-cloud world there are no tradeoffs.
  • A future-proofed investment. Even for the most skilled and seasoned analysts, it can be hard to predict where we’ll be in 5-10 years and what companies will need from their data analytics programs. Having a solution designed specifically for complex, competing requirements which will be able to deliver answers to questions that have not yet even been posed is the smart long-term approach.
  • More than one path from start to finish. A hybrid or multi-cloud analytics strategy yields flexibility when it comes to problem-solving, and decision-makers prefer options because there is greater latitude to pick the path best aligned with one’s strategy. With multiple deployment options at hand, a hybrid or multi-cloud strategy affords the freedom to choose which combination best meets the need at any point in time.

Managing the Growing Complexities of Data

It’s essential that companies adequately manage and adjust to the growing complexities of our data-driven world. A “one-size-fits-all” cloud analytics strategy does not allow for the flexibility, agility and individualization companies need to succeed. Enterprises should not settle for basic analytics intended for the masses and risk being a run-of-the-mill member of the crowd; set your sights higher and demand more from your analytics platform. By adopting a hybrid or multi-cloud data analytics strategy instead, companies can implement the best infrastructure match for their various needs, future-proof their investments against the unknown, and strengthen their long-term competitive positions.

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