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Information & Knowledge Management (I&KM) professionals have a lot riding on their decision to invest in any vendor's enterprise data warehousing (EDW) platform. Companies' EDW platforms are the centerpiece of their business intelligence (BI), advanced analytics, and data management deployments. For an I&KM pro, choosing the wrong EDW platform — one the lacks the requisite scalability, flexibility, interoperability, and manageability features — can stall your career and stymie your company's ability to leverage analytics for business agility. This teleconference presents findings and recommendations from the recently published Forrester Wave™ for EDW platforms. It discusses the differentiation, strengths, weaknesses, and road maps of the leading EDW vendors, helping I&KM pros to re-assess their EDW platform sourcing decisions. The teleconference also helps vendors in the EDW, BI, and advanced analytics segments to re-assess their competitive, go-to-market, channel, and partnering strategies.
Agenda:
Vendors mentioned: IBM, Microsoft, Oracle, Netezza, SAP, Sybase, Teradata
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Scattered business information permeates many enterprises. This disunited data often conforms to various schemas and formats, resides in sundry databases and applications, and falls under the purview of myriad owners, administrators, and business domains.
While information and knowledge management (I&KM) professionals occasionally demonstrate returns on their real-time data warehousing investments, most business intelligence (BI) architectures continue to rely on enterprise data warehouses (EDWs) as an agg
Appliances are taking up permanent residence in the heart of the enterprise data center — the data warehouse (DW). DW appliances — in all their bewildering proliferation — are moving into the mainstream. The reason? They are preconfigured, modular devices
This webinar shows attendees how to optimize Forrester’s research and resources when evaluating and selecting a value stream management (VSM) platform.Key takeaways:Explore a list of the key players in the VSM market.Learn how to maximize Forrester’s research and resources, particularly the recent VSM Wave, to identify the right VSM platform for your organization.Vendors: Atlassian, Broadcom, CloudBees, ConnectALL, Digital.ai, GitLab, Harness, HCLSoftware/IBM, Jellyfish, Micro Focus, Planview, Plutora, ServiceNow, ZenhubTarget audience level: all levels
In 2022, Web3 frequently dominated the headlines for all the wrong reasons. Leaving aside the travails of centrally controlled entities, hardly a day went by without some form of exploit that resulted in (sometimes considerable) funds being exfiltrated from protocols and services running on public blockchains. Fundamental Web3 design and governance issues also had unwanted side effects. This matters, even if Web3 or decentralized finance (DeFi) as such aren't on your agenda for 2023: Any enterprise engaged in, or planning, NFT-related activities may end up suffering the consequences of basic security deficiencies.Key takeaways:Hear about the most serious security breaches of 2022 and what caused them.Learn what you can do to prevent such incidents, or at least mitigate the consequences.Understand why Web3 won’t succeed unless there's a step change in how process designers and developers approach security. Target audience level: beginner and intermediate
So, your enterprise wants to become data-driven. You can implement the best data platforms, hire great people, and use the most sophisticated analysis techniques, but it’s all for naught if faulty analysis and human cognitive biases get in the way. The result? Poor business insights and data-driven decisions. Join this webinar to learn about seven data analysis failures to avoid. How many of these seven do you and/or your organization succumb to?Key takeaways: How human cognitive biases can lead to poor data analysis Seven data analysis failures to avoid (or exploit) Target level audience: beginner and intermediate
