Consumers leave a data “exhaust trail” behind every online activity. Billions of IoT (Internet of Things) sensors pour in information. Machine learning (ML) and artificial intelligence (AI) programs churn through vast data troves. Companies compile behavioral, financial, and medical information from consumers. And businesses like yours increasingly succeed or fail depending on how they handle this deluge of data.
Effective data acquisition, integration, and interpretation have quickly become essential corporate tasks. For financial institutions, insurers, retailers, healthcare providers, and everyone else who deals with customers, partners, and regulators, a forward-looking data strategy is a board-level issue.
An effective data & analytics strategy provides:
Pyramid Consulting has the engineering expertise to help you capitalize on the high value data you are constantly collecting by connecting that data across departments, bolstering analysis, and building better reporting capabilities — all in real-time.
Enterprise Information Management (EIM) technologies, processes and practices help you improve efficiency and enable faster business insights. Gartner says that by 2020, “75% of organizations that use Enterprise Information Management to align, link and leverage their data and analytics investments will report substantially improved business outcomes.”
EIM provides end-to-end data lifecycle management, including data integration, data warehousing and analytics, reports and dashboards, data tool migration/upgrade, master data management, and data quality and lineage, along with the right tools to achieve each.
Pyramid Consulting ’s data team can help you utilize EIM to:
Petabytes, zettabytes, and beyond. Big data continues to grow. How do you ensure you can mine big insights from your ever growing data?
Big data refers to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low latency. Big data includes structured, semi-structured and unstructured data, from different sources, and in different sizes.
With an explosion of data from more sources than ever before, storing and managing these huge pools of information is a big challenge.
And regardless of the size of your data cache, you must be able to extract the right metrics at the right time. Big data services enables users to make better and faster decisions using data that was previously inaccessible or unusable. Pyramid can help with data discovery, data quality, data visualization, and big data/social media analytics.
Cloud analytic solutions have arrived and are here to stay. Cloud analytics moves data processing and storage operations to a private or public cloud network. You’ll get all the benefits of the cloud – rapid spin-up, flexibility, scalability – and you only pay for what is used.
You have many disparate data sources, and it’s difficult to see all the moving parts if the data is housed in different locations. A cloud implementation consolidates your data so it’s more easily accessible. That ease of access can lead to more sharing and collaboration between employees as well. And, you’ll reduce operating costs when you don’t need to purchase additional hardware or software, or provide continuous support and ongoing upgrades.
Pyramid Consulting’s cloud analytics includes solutions such as Data Lakes and DataHubs for ETL (Extract/Transform/Load), data warehouses, and on-demand business intelligence.
How should cloud services play a role in your data management strategies? Contact us to see what architecture is right for you.
Artificial Intelligence (AI) allows machines to sense, comprehend, learn, and act. AI can provide song recommendations on your streaming music platform, systems designed to intelligently trade stocks, or maneuver an autonomous vehicle.
Machine Learning (ML) takes AI to another level by giving machines access to data and letting them learn for themselves. For example, ML apps can read text and determine whether the writer is making a complaint or offering a recommendation, or listen to music and decide whether it is likely to make someone happy or sad.
Do you need better data security like risk identification or early detection? What about real time analytics to find fraudulent transactions or provide dynamic pricing? Can data visualizations and dashboards identify irregularities in data or help support predictive analytics? AI and ML can help you turn data into decisions at any scale, anywhere, and Pyramid Consulting can help you build, deploy, and scale AI and ML applications with expertise in prediction models, recommender engines, bots, and cognitive services.
All this data is bringing a new dimension to DevOps.
DevOps involves infrastructure provisioning, configuration management, automation, continuous integration and deployment, testing, and monitoring — most importantly speeding up innovation and increasing agility. DevOps teams work closely with Dev teams to manage the lifecycle of applications.
Now you also want to add in the need to collaborate with data scientists and data engineers to support Big Data, AI, ML, and all your data initiatives.
Data operations bring additional responsibilities to DevOps. DevOps teams are expected to support data scientists by creating environments for data exploration and visualization. The ML lifecycle management requires best practices in continuous integration and deployment (CI/CD). DevOps for the data lifecycle enables seamless continuous integration and deployment for software development.
Pyramid Consulting uses industry-leading popular and new age tools, tailored to your business goals. Our industry expertise spans insurance, healthcare, manufacturing, media, and communications, among others.
Superior decision-making starts with actionable data. All the information in the world is worthless if you’re unable to translate it into better strategic and tactical decisions. Let Pyramid Consulting help you organize and transform your data into accessible, reliable, and meaningful information.
Start your transformation.